US20030172291A1 - Systems and methods for automated whitelisting in monitored communications - Google Patents

Systems and methods for automated whitelisting in monitored communications Download PDF

Info

Publication number
US20030172291A1
US20030172291A1 US10361067 US36106703A US2003172291A1 US 20030172291 A1 US20030172291 A1 US 20030172291A1 US 10361067 US10361067 US 10361067 US 36106703 A US36106703 A US 36106703A US 2003172291 A1 US2003172291 A1 US 2003172291A1
Authority
US
Grant status
Application
Patent type
Prior art keywords
communication
system
received
anomaly
message
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US10361067
Inventor
Paul Judge
Guru Rajan
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Secure Computing LLC
Original Assignee
CipherTrust Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/14Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1433Vulnerability analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/50Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
    • G06F21/55Detecting local intrusion or implementing counter-measures
    • G06F21/554Detecting local intrusion or implementing counter-measures involving event detection and direct action
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/50Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
    • G06F21/57Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
    • G06F21/577Assessing vulnerabilities and evaluating computer system security
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00Arrangements for user-to-user messaging in packet-switching networks, e.g. e-mail or instant messages
    • H04L51/12Arrangements for user-to-user messaging in packet-switching networks, e.g. e-mail or instant messages with filtering and selective blocking capabilities
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/02Network architectures or network communication protocols for network security for separating internal from external traffic, e.g. firewalls
    • H04L63/0227Filtering policies
    • H04L63/0236Filtering by address, protocol, port number or service, e.g. IP-address or URL
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/02Network architectures or network communication protocols for network security for separating internal from external traffic, e.g. firewalls
    • H04L63/0227Filtering policies
    • H04L63/0245Filtering by information in the payload
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/02Network architectures or network communication protocols for network security for separating internal from external traffic, e.g. firewalls
    • H04L63/0227Filtering policies
    • H04L63/0263Rule management
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/14Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/14Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1408Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/14Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1408Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
    • H04L63/1416Event detection, e.g. attack signature detection
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/14Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1408Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
    • H04L63/1425Traffic logging, e.g. anomaly detection
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/14Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1441Countermeasures against malicious traffic
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/14Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1441Countermeasures against malicious traffic
    • H04L63/145Countermeasures against malicious traffic the attack involving the propagation of malware through the network, e.g. viruses, trojans or worms
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/04Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
    • H04L63/0428Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload

Abstract

The present invention is directed to systems and methods for detecting and preventing the delivery of unsolicited communications. A communication transmitted over a communications network is received and analyzed by a system processor. The system processor can extract attributes from the communication and compare extracted attributes to information stored in a system data store. In processing the communication, the system processor may assign a confidence level, a trust level, or other indicia of content. The results of that processing, analysis, and comparison can be used to direct the further handling of the communication. The system processor can dispose of communications by quarantining, deleting, or forwarding.

Description

    CROSS-REFERENCE TO RELATED PATENT APPLICATIONS
  • [0001]
    This application is a continuation-in-part of commonly assigned U.S. patent application Ser. Nos. 10/093,553; 10/094,211; and 10/094,266 all filed on Mar. 8, 2002, which are hereby incorporated herein in their entirety.
  • BACKGROUND
  • [0002]
    The present invention is directed to methods and systems for automated and/or authenticated whitelisting for accurate communications filtering. More specifically, without limitation, the present invention relates to computer-based systems and methods for automated whitelist generation based on outbound traffic associated with electronic communications transmitted over a communications network.
  • [0003]
    The Internet is a global network of connected computer networks. Over the last several years, the Internet has grown in significant measure. A large number of computers on the Internet provide information in various forms. Anyone with a computer connected to the Internet can potentially tap into this vast pool of information.
  • [0004]
    The information available via the Internet encompasses information available via a variety of types of application layer information servers such as SMTP (simple mail transfer protocol), POP3 (Post Office Protocol), GOPHER (RFC 1436), WAIS, HTTP (Hypertext Transfer Protocol, RFC 2616) and FTP (file transfer protocol, RFC 1123).
  • [0005]
    One of the most wide spread method of providing information over the Internet is via the World Wide Web (the Web). The Web consists of a subset of the computers connected to the Internet; the computers in this subset run Hypertext Transfer Protocol (HTTP) servers (Web servers). Several extensions and modifications to HTTP have been proposed including, for example, an extension framework (RFC 2774) and authentication (RFC 2617). Information on the Internet can be accessed through the use of a Uniform Resource Identifier (URI, RFC 2396). A URI uniquely specifies the location of a particular piece of information on the Internet. A URI will typically be composed of several components. The first component typically designates the protocol by which the address piece of information is accessed (e.g., HTTP, GOPHER, etc.). This first component is separated from the remainder of the URI by a colon (‘:’). The remainder of the URI will depend upon the protocol component. Typically, the remainder designates a computer on the Internet by name, or by IP number, as well as a more specific designation of the location of the resource on the designated computer. For instance, a typical URI for an HTTP resource might be:
  • [0006]
    http://www.server.com/dir1/dir2/resource.htm where http is the protocol, www.server.com is the designated computer and /dir1/dir2/resource.htm designates the location of the resource on the designated computer. The term URI includes Uniform Resource Names (URN's) including URN's as defined according to RFC 2141.
  • [0007]
    Web servers host information in the form of Web pages; collectively the server and the information hosted are referred to as a Web site. A significant number of Web pages are encoded using the Hypertext Markup Language (HTML) although other encodings using eXtensible Markup Language (XML) or XHTML. The published specifications for these languages are incorporated by reference herein; such specifications are available from the World Wide Web Consortium and its Web site (http://www.w3c.org). Web pages in these formatting languages may include links to other Web pages on the same Web site or another. As will be known to those skilled in the art, Web pages may be generated dynamically by a server by integrating a variety of elements into a formatted page prior to transmission to a Web client. Web servers, and information servers of other types, await requests for the information from Internet clients.
  • [0008]
    Client software has evolved that allows users of computers connected to the Internet to access this information. Advanced clients such as Netscape's Navigator and Microsoft's Internet Explorer allow users to access software provided via a variety of information servers in a unified client environment. Typically, such client software is referred to as browser software.
  • [0009]
    Electronic mail (e-mail) is another wide spread application using the Internet. A variety of protocols are often used for e-mail transmission, delivery and processing including SMTP and POP3 as discussed above. These protocols refer, respectively, to standards for communicating e-mail messages between servers and for server-client communication related to e-mail messages. These protocols are defined respectively in particular RFC's (Request for Comments) promulgated by the IETF (Internet Engineering Task Force). The SMTP protocol is defined in RFC 821, and the POP3 protocol is defined in RFC 1939.
  • [0010]
    Since the inception of these standards, various needs have evolved in the field of e-mail leading to the development of further standards including enhancements or additional protocols. For instance, various enhancements have evolved to the SMTP standards leading to the evolution of extended SMTP. Examples of extensions may be seen in (1) RFC 1869 that defines a framework for extending the SMTP service by defining a means whereby a server SMTP can inform a client SMTP as to the service extensions it supports and in (2) RFC 1891 that defines an extension to the SMTP service, which allows an SMTP client to specify (a) that delivery status notifications (DSNs) should be generated under certain conditions, (b) whether such notifications should return the contents of the message, and (c) additional information, to be returned with a DSN, that allows the sender to identify both the recipient(s) for which the DSN was issued, and the transaction in which the original message was sent.
  • [0011]
    In addition, the IMAP protocol has evolved as an alternative to POP3 that supports more advanced interactions between e-mail servers and clients. This protocol is described in RFC 2060.
  • [0012]
    The various standards discussed above by reference to particular RFC's are hereby incorporated by reference herein for all purposes. These RFC's are available to the public through the IETF and can be retrieved from its Web site (http://www.ietf.org/rfc.html). The specified protocols are not intended to be limited to the specific RFC's quoted herein above but are intended to include extensions and revisions thereto. Such extensions and/or revisions may or may not be encompassed by current and/or future RFC's.
  • [0013]
    A host of e-mail server and client products have been developed in order to foster e-mail communication over the Internet. E-mail server software includes such products as sendmail-based servers, Microsoft Exchange, Lotus Notes Server, and Novell Group Wise; sendmail-based servers refer to a number of variations of servers originally based upon the sendmail program developed for the UNIX operating systems. A large number of e-mail clients have also been developed that allow a user to retrieve and view e-mail messages from a server; example products include Microsoft Outlook, Microsoft Outlook Express, Netscape Messenger, and Eudora. In addition, some e-mail servers, or e-mail servers in conjunction with a Web server, allow a Web browser to act as an e-mail client using the HTTP standard.
  • [0014]
    As the Internet has become more widely used, it has also created new risks for corporations. Breaches of computer security by hackers and intruders and the potential for compromising sensitive corporate information are a very real and serious threat. Organizations have deployed some or all of the following security technologies to protect their networks from Internet attacks:
  • [0015]
    Firewalls have been deployed at the perimeter of corporate networks. Firewalls act as gatekeepers and allow only authorized users to access a company network. Firewalls play an important role in controlling traffic into networks and are an important first step to provide Internet security.
  • [0016]
    Intrusion detection systems (IDS) are being deployed throughout corporate networks. While the firewall acts as a gatekeeper, IDS act like a video camera. IDS monitor network traffic for suspicious patterns of activity, and issue alerts when that activity is detected. IDS proactively monitor your network 24 hours a day in order to identify intruders within a corporate or other local network.
  • [0017]
    Firewall and IDS technologies have helped corporations to protect their networks and defend their corporate information assets. However, as use of these devices has become widespread, hackers have adapted and are now shifting their point-of-attack from the network to Internet applications. The most vulnerable applications are those that require a direct, “always-open” connection with the Internet such as web and e-mail. As a result, intruders are launching sophisticated attacks that target security holes within these applications.
  • [0018]
    Many corporations have installed a network firewall, as one measure in controlling the flow of traffic in and out of corporate computer networks, but when it comes to Internet application communications such as e-mail messages and Web requests and responses, corporations often allow employees to send and receive from or to anyone or anywhere inside or outside the company. This is done by opening a port, or hole in their firewall (typically, port 25 for e-mail and port 80 for Web), to allow the flow of traffic. Firewalls do not scrutinize traffic flowing through this port. This is similar to deploying a security guard at a company's entrance but allowing anyone who looks like a serviceman to enter the building. An intruder can pretend to be a serviceman, bypass the perimeter security, and compromise the serviced Internet application.
  • [0019]
    [0019]FIG. 1 depicts a typical prior art server access architecture. With in a corporation's local network 190, a variety of computer systems may reside. These systems typically include application servers 120 such as Web servers and e-mail servers, user workstations running local clients 130 such as e-mail readers and Web browsers, and data storage devices 110 such as databases and network connected disks. These systems communicate with each other via a local communication network such as Ethernet 150. Firewall system 140 resides between the local communication network and Internet 160. Connected to the Internet 160 are a host of external servers 170 and external clients 180.
  • [0020]
    Local clients 130 can access application servers 120 and shared data storage 110 via the local communication network. External clients 180 can access external application servers 170 via the Internet 160. In instances where a local server 120 or a local client 130 requires access to an external server 170 or where an external client 180 or an external server 170 requires access to a local server 120, electronic communications in the appropriate protocol for a given application server flow through “always open” ports of firewall system 140.
  • [0021]
    The security risks do not stop there. After taking over the mail server, it is relatively easy for the intruder to use it as a launch pad to compromise other business servers and steal critical business information. This information may include financial data, sales projections, customer pipelines, contract negotiations, legal matters, and operational documents. This kind of hacker attack on servers can cause immeasurable and irreparable losses to a business.
  • [0022]
    In the 1980's, viruses were spread mainly by floppy diskettes. In today's interconnected world, applications such as e-mail serve as a transport for easily and widely spreading viruses. Viruses such as “I Love You” use the technique exploited by distributed Denial of Service (DDOS) attackers to mass propagate. Once the “I Love You” virus is received, the recipient's Microsoft Outlook sends emails carrying viruses to everyone in the Outlook address book. The “I Love You” virus infected millions of computers within a short time of its release. Trojan horses, such as Code Red use this same technique to propagate themselves. Viruses and Trojan horses can cause significant lost productivity due to down time and the loss of crucial data.
  • [0023]
    The Nimda worm simultaneously attacked both email and web applications. It propagated itself by creating and sending infectious email messages, infecting computers over the network and striking vulnerable Microsoft IIS Web servers, deployed on Exchange mail servers to provide web mail.
  • [0024]
    Most e-mail and Web requests and responses are sent in plain text today, making it just as exposed as a postcard. This includes the e-mail message, its header, and its attachments, or in a Web context, a user name and password and/or cookie information in an HTTP request. In addition, when you dial into an Internet Service Provider (ISP) to send or receive e-mail messages, the user ID and password are also sent in plain text, which can be snooped, copied, or altered. This can be done without leaving a trace, making it impossible to know whether a message has been compromised.
  • [0025]
    As the Internet has become more widely used, it has also created new troubles for users. In particular, the amount of “spam” received by individual users has increased dramatically in the recent past. Spam, as used in this specification, refers to any communication receipt of which is either unsolicited or not desired by its recipient.
  • [0026]
    The following are additional security risks caused by Internet applications:
  • [0027]
    E-mail spamming consumes corporate resources and impacts productivity. Furthermore, spammers use a corporation's own mail servers for unauthorized email relay, making it appear as if the message is coming from that corporation.
  • [0028]
    E-mail and Web abuse, such as sending and receiving inappropriate messages and Web pages, are creating liabilities for corporations. Corporations are increasingly facing litigation for sexual harassment or slander due to e-mail their employees have sent or received.
  • [0029]
    Regulatory requirements such as the Health Insurance Portability and Accountability Act (HIPAA) and the Gramm-Leach-Bliley Act (regulating financial institutions) create liabilities for companies where confidential patient or client information may be exposed in e-mail and/or Web servers or communications including e-mails, Web pages and HTTP requests.
  • [0030]
    Using the “always open” port, a hacker can easily reach an appropriate Internet application server, exploit its vulnerabilities, and take over the server. This provides hackers easy access to information available to the server, often including sensitive and confidential information. The systems and methods according to the present invention provide enhanced security for communications involved with such Internet applications requiring an “always-open” connection.
  • [0031]
    Anti-spam systems in use today include fail-open systems in which all incoming messages are filtered for spam. In these systems, a message is considered not to be spam until some form of examination proves otherwise. A message is determined to be spam based on an identification technique. Operators of such systems continue to invest significant resources in efforts to reduce the number of legitimate messages that are misclassified as spam. The penalties for any misclassification are significant and therefore most systems are designed to be predisposed not to classify messages as spam.
  • [0032]
    One such approach requires a user to explicitly list users from whom email is desirable. Such a list is one type of “whitelist”. There are currently two approaches for creating such a whitelist. In a desktop environment, an end-user can import an address book as the whitelist. This approach can become a burden when operated at a more central location such as the gateway of an organization. Therefore, some organizations only add a few entries to the whitelist as necessary. In that case, however, the full effect of whitelisting is not achieved. The present invention improves upon these systems by including a system that allows a more effective solution for whitelisting while requiring reduced manual effort by end-users or administrators. The present invention also allows a whitelist system to be strengthened by authenticating sender information. Some exemplary known whitelist and/or spam detection systems are described in U.S. Pat. No. 6,052,709, U.S. Pat. No. 6,161,130 and U.S. patent application Ser. No. 10/154,137 (publication 2002/0199095 A1), the disclosures of which are incorporated herein by this reference.
  • [0033]
    Many systems in use today employ a fail-closed system in which a sender must prove its legitimacy. A common example of this type of system uses a challenge and response. Such a system blocks all messages from unknown senders and itself sends a confirmation message to the sender. The sender must respond to verify that it is a legitimate sender. If the sender responds, the sender is added to the whitelist. However, spammers can create tools to respond to the confirmation messages. Some confirmation messages are more advanced in an effort to require that a human send the response. The present invention is an improvement upon these systems. The present invention can reference information provided by users to determine who should be whitelisted rather than rely on the sender's confirmation. The systems and methods according to the present invention provide enhanced accuracy in the automated processing of electronic communications.
  • SUMMARY
  • [0034]
    The present invention is directed to methods and systems for automated and/or authenticated whitelisting for accurate communications filtering. One preferred embodiment according to the present invention includes a system data store (SDS), a system processor and one or more interfaces to one or more communications networks over which electronic communications are transmitted and received. The SDS stores data needed to provide the desired system functionality and may include, for example, received communications, data associated with such communications, information related to known security risks, information related to corporate policy with respect to communications for one or more applications (e.g., corporate e-mail policy, Web access guidelines, message interrogation parameters, and whitelists) and predetermined responses to the identification of particular security risks, situations or anomalies.
  • [0035]
    The SDS may include multiple physical and/or logical data stores for storing the various types of information. Data storage and retrieval functionality may be provided by either the system processor or data storage processors associated with the data store. The system processor is in communication with the SDS via any suitable communication channel(s); the system processor is in communication with the one or more interfaces via the same, or differing, communication channel(s). The system processor may include one or more processing elements that provide electronic communication reception, transmission, interrogation, analysis and/or other functionality.
  • [0036]
    Accordingly, one preferred method of automated whitelisting includes a variety of steps that may, in certain embodiments, be executed by the environment summarized above and more fully described below or be stored as computer executable instructions in and/or on any suitable combination of computer-readable media. In some embodiments, an electronic communication directed to or originating from an application server is received. The source of the electronic communication may be any appropriate internal or external client or any appropriate internal or external application server. One or more tests are applied to the received electronic communication to evaluate the received electronic communication for a particular security risk. A risk profile associated with the received electronic communication is stored based upon this testing. The stored risk profile is compared against data accumulated from previously received electronic communications to determine whether the received electronic communication is anomalous. If the received communication is determined to be anomalous, an anomaly indicator signal is output. The output anomaly indicator signal may, in some embodiments, notify an application server administrator of the detected anomaly by an appropriate notification mechanism (e.g., pager, e-mail, etc.) or trigger some corrective measure such as shutting down the application server totally, or partially (e.g., deny access to all communications from a particular source).
  • [0037]
    In some embodiments, an electronic communication directed to or originating from an email server is received. One or more tests can be applied to the received electronic communication to compare the sender's address in the received electronic communication to addresses contained in one or more whitelists.
  • [0038]
    Some embodiments may also support a particular approach to testing the received electronic communication, which may also be applicable for use in network level security and intrusion detection. In such embodiments, each received communication is interrogated by a plurality of interrogation engines where each such interrogation engine is of a particular type designed to test the communication for a particular security risk. Each received communication is interrogated by a series of interrogation engines of differing types. The ordering and selection of interrogation engine types for use with received communications may, in some embodiments, be configurable, whereas in others the ordering and selection may be fixed.
  • [0039]
    Associated with each interrogation engine is a queue of indices for communications to be evaluated by the particular interrogation engine. When a communication is received, it is stored and assigned an index. The index for the receive communication is placed in a queue associated with an interrogation of a particular type as determined by the interrogation engine ordering. Upon completion of the assessment of the received communication by the interrogation engine associated with the assigned queue, the index is assigned to a new queue associated with an interrogation engine of the next type as determined by the interrogation engine ordering. The assignment process continues until the received communication has been assessed by an interrogation engine of each type as determined by the interrogation engine selection. If the communication successfully passes an interrogation engine of each type, the communication is forwarded to its appropriate destination. In some embodiments, if the communication fails any particular engine, a warning indicator signal may be output; in some such embodiments, the communication may then be forwarded with or without an indication of its failure to its appropriate destination, to an application administrator and/or both.
  • [0040]
    In some embodiments using this queuing approach, the assignment of an index for a received communication to a queue for an interrogation engine of a particular type may involve an evaluation of the current load across all queues for the particular interrogation engine type. If a threshold load exists, a new instance of an interrogation engine of the particular type may be spawned with an associated index queue. The index for the received communication may then be assigned to the queue associated with the interrogation engine instance. In some embodiments, the load across the queues associated with the particular type may be redistributed across the queues including the one associated with the new interrogation engine instance prior to the assignment of the index associated with the newly received communication to the queue. Some embodiments may also periodically, or at particular times such as a determination that a particular queue is empty, evaluate the load across queues for a type of interrogation engine and if an inactivity threshold is met, shutdown excess interrogation instances of that type and disassociating or deallocating indices queues associated with shutdown instances.
  • [0041]
    Alternatively, a fixed number of interrogation engines of each particular type may be configured in which case dynamic instance creation may or may not occur. In fixed instance embodiments not supporting dynamic instance creation, assignment to a particular queue may result from any appropriate allocation approach including load evaluation or serial cycling through queues associated with each interrogation engine instance of the particular type desired.
  • [0042]
    In some embodiments, anomaly detection may occur through a process outlined as follows. In such a process, data associated with a received communication is collected. The data may be accumulated from a variety of source such as from the communication itself and from the manner of its transmission and receipt. The data may be collected in any appropriate manner such as the multiple queue interrogation approach summarized above and discussed in greater detail below. Alternatively, the data collection may result from a parallel testing process where a variety of test is individually applied to the received communication in parallel. In other embodiments, a single combined analysis such as via neural network may be applied to simultaneously collect data associated with the received communication across multiple dimensions.
  • [0043]
    The collected data is then analyzed to determine whether the received communication represents an anomaly. The analysis will typically be based upon the collected data associated with the received communication in conjunction with established communication patterns over a given time period represented by aggregated data associated with previously received communications. The analysis may further be based upon defined and/or configurable anomaly rules. In some embodiments, analysis may be combined with the data collection; for instance, a neural network could both collect the data associated with the received communication and analyze it.
  • [0044]
    The adaptive communication interrogation can use established communication patterns over a given time period represented by aggregated data associated with previously received communications. The analysis can further be based upon defined and/or configurable spam rules. In some embodiments, analysis can be combined with the data collection; for instance, a neural network could both collect the data associated with the received communication and analyze it.
  • [0045]
    Finally, if an anomaly is detected with respect to the received communication, an indicator signal is generated. The generated signal may provide a warning to an application administrator or trigger some other appropriate action. In some embodiments, the indicator signal generated may provide a generalized indication of an anomaly; in other embodiments, the indicator may provide additional data as to a specific anomaly, or anomalies, detected. In the latter embodiments, any warning and/or actions resulting from the signal may be dependent upon the additional data.
  • [0046]
    Data collected from received communications can be analyzed to determine whether the received communication is on one or more whitelists. The analysis is typically based upon the collected data associated with the received communication in conjunction with reference to one or more whitelists. If no match to a whitelist is found, the communication can be subject to a certain level of interrogation. If a match to the whitelist is found, the communication can either bypass any message interrogation or it can be subject to a different level of interrogation. In one preferred embodiment, if a match to a whitelist is found, the message can be subject to either adaptive message interrogation or no message interrogation. If no match to a whitelist is found, the message can be subject to normal message interrogation. Additionally, a whitelist can be created and/or updated based on outbound communication. In one preferred embodiment, some or all of the destination addresses of outbound communications are added to a whitelist. If a destination address already appears on a whitelist, a confidence value associated with the destination can be modified based upon the destination address' presence. For instance, a usage count may be maintained; such a usage count can reflect absolute usage of the address or usage of the address over a given period of time.
  • [0047]
    Additional advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The advantages of the invention will be realized and attained by means of the elements and combinations particularly pointed out in the appended claims. It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • [0048]
    The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description, serve to explain the principles of the invention.
  • [0049]
    [0049]FIG. 1 depicts a typical prior art access environment.
  • [0050]
    [0050]FIG. 2 depicts a hardware diagram for an environment using one preferred embodiment according to the present invention.
  • [0051]
    [0051]FIG. 3 is a logical block diagram of the components in a typical embodiment of the present invention.
  • [0052]
    [0052]FIG. 4 is a flow chart of an exemplary anomaly detection process according to the present invention.
  • [0053]
    [0053]FIG. 5 is a sample anomaly detection configuration interface screen.
  • [0054]
    [0054]FIG. 6 is a bock diagram depicting the architecture of an exemplary embodiment of a security enhancement system according to the present invention.
  • [0055]
    [0055]FIG. 7 is a block diagram depicting the architecture of an exemplary embodiment of a risk assessment approach according to the present invention using multiple queues to manage the application of a plurality of risk assessments to a received communication.
  • [0056]
    FIGS. 8A-8B are a flow chart depicting the process of accessing risk associated with a received communication using the architecture depicted in FIG. 7.
  • [0057]
    [0057]FIG. 9 is a flow chart of an exemplary communication assessment process according to the present invention.
  • [0058]
    [0058]FIG. 10 is a flow chart of an exemplary whitelist management process according to the present invention.
  • [0059]
    [0059]FIG. 11 is a flow chart of an exemplary interrogation process according to the present invention.
  • DETAILED DESCRIPTION
  • [0060]
    Exemplary embodiments of the present invention are now described in detail. Referring to the drawings, like numbers indicate like parts throughout the views. As used in the description herein and throughout the claims that follow, the meaning of “a,” “an,” and “the” includes plural reference unless the context clearly dictates otherwise. Also, as used in the description herein and throughout the claims that follow, the meaning of “in” includes “in” and “on” unless the context clearly dictates otherwise. Finally, as used in the description herein and throughout the claims that follow, the meanings of “and” and “or” include both the conjunctive and disjunctive and may be used interchangeably unless the context clearly dictates otherwise.
  • [0061]
    Ranges may be expressed herein as from “about” one particular value, and/or to “about” another particular value. When such a range is expressed, another embodiment includes from the one particular value and/or to the other particular value. Similarly, when values are expressed as approximations, by use of the antecedent “about,” it will be understood that the particular value forms another embodiment. It will be further understood that the endpoints of each of the ranges are significant both in relation to the other endpoint, and independently of the other endpoint.
  • [0062]
    Architecture of a Typical Access Environment
  • [0063]
    [0063]FIG. 2 depicts a typical environment according to the present invention. As compared with FIG. 1, the access environment using systems and methods according to the present invention may include a hardware device 210 connected to the local communication network such as Ethernet 180 and logically interposed between the firewall system 140 and the local servers 120 and clients 130. All application related electronic communications attempting to enter or leave the local communications network through the firewall system 140 are routed to the hardware device 210 for application level security assessment and/or anomaly detection. Hardware device 210 need not be physically separate from existing hardware elements managing the local communications network. For instance, the methods and systems according to the present invention could be incorporated into a standard firewall system 140 or router (not shown) with equal facility. In environment not utilizing a firewall system, the hardware device 210 may still provide application level security assessment and/or anomaly detection.
  • [0064]
    For convenience and exemplary purposes only, the foregoing discussion makes reference to hardware device 210; however, those skilled in the art will understand that the hardware and/or software used to implement the systems and methods according to the present invention may reside in other appropriate network management hardware and software elements. Moreover, hardware device 210 is depicted as a single element. In various embodiments, a multiplicity of actual hardware devices may be used. Multiple devices that provide security enhancement for application servers of a particular type such as e-mail or Web may be used where communications of the particular type are allocated among the multiple devices by an appropriate allocation strategy such as (1) serial assignment that assigns a communication to each device sequentially or (2) via the use of a hardware and/or software load balancer that assigns a communication to the device based upon current device burden. A single device may provide enhanced security across multiple application server types, or each device may only provide enhanced security for a single application server type.
  • [0065]
    In one embodiment, hardware device 210 may be a rack-mounted Intel-based server at either 1U or 2U sizes. The hardware device 210 can be configured with redundant components such as power supplies, processors and disk arrays for high availability and scalability. The hardware device 210 may include SSL/TLS accelerators for enhanced performance of encrypted messages.
  • [0066]
    The hardware device 210 will include a system processor potentially including multiple processing elements where each processing element may be supported via Intel-compatible processor platforms preferably using at least one PENTIUM III or CELERON (Intel Corp., Santa Clara, Calif.) class processor; alternative processors such as UltraSPARC (Sun Microsystems, Palo Alto, Calif.) could be used in other embodiments. In some embodiments, security enhancement functionality, as further described below, may be distributed across multiple processing elements. The term processing element may refer to (1) a process running on a particular piece, or across particular pieces, of hardware, (2) a particular piece of hardware, or either (1) or (2) as the context allows.
  • [0067]
    The hardware device 210 would have an SDS that could include a variety of primary and secondary storage elements. In one preferred embodiment, the SDS would include RAM as part of the primary storage; the amount of RAM might range from 128 MB to 4 GB although these amounts could vary and represent overlapping use such as where security enhancement according to the present invention is integrated into a firewall system. The primary storage may in some embodiments include other forms of memory such as cache memory, registers, non-volatile memory (e.g., FLASH, ROM, EPROM, etc.), etc.
  • [0068]
    The SDS may also include secondary storage including single, multiple and/or varied servers and storage elements. For example, the SDS may use internal storage devices connected to the system processor. In embodiments where a single processing element supports all of the security enhancement functionality, a local hard disk drive may serve as the secondary storage of the SDS, and a disk operating system executing on such a single processing element may act as a data server receiving and servicing data requests.
  • [0069]
    It will be understood by those skilled in the art that the different information used in the security enhancement processes and systems according to the present invention may be logically or physically segregated within a single device serving as secondary storage for the SDS; multiple related data stores accessible through a unified management system, which together serve as the SDS; or multiple independent data stores individually accessible through disparate management systems, which may in some embodiments be collectively viewed as the SDS. The various storage elements that comprise the physical architecture of the SDS may be centrally located, or distributed across a variety of diverse locations.
  • [0070]
    The architecture of the secondary storage of the system data store may vary significantly in different embodiments. In several embodiments, database(s) are used to store and manipulate the data; in some such embodiments, one or more relational database management systems, such as DB2 (IBM, White Plains, N.Y.), SQL Server (Microsoft, Redmond, Wash.), ACCESS (Microsoft, Redmond, Wash.), ORACLE 8i (Oracle Corp., Redwood Shores, Calif.), Ingres (Computer Associates, Islandia, N.Y.), MySQL (MySQL AB, Sweden) or Adaptive Server Enterprise (Sybase Inc., Emeryville, Calif.), may be used in connection with a variety of storage devices/file servers that may include one or more standard magnetic and/or optical disk drives using any appropriate interface including, without limitation, IDE and SCSI. In some embodiments, a tape library such as Exabyte X80 (Exabyte Corporation, Boulder, Colo.), a storage attached network (SAN) solution such as available from (EMC, Inc., Hopkinton, Mass.), a network attached storage (NAS) solution such as a NetApp Filer 740 (Network Appliances, Sunnyvale, Calif.), or combinations thereof may be used. In other embodiments, the data store may use database systems with other architectures such as object-oriented, spatial, object-relational or hierarchical or may use other storage implementations such as hash tables or flat files or combinations of such architectures. Such alternative approaches may use data servers other than database management systems such as a hash table look-up server, procedure and/or process and/or a flat file retrieval server, procedure and/or process. Further, the SDS may use a combination of any of such approaches in organizing its secondary storage architecture.
  • [0071]
    The hardware device 210 would have an appropriate operating system such as WINDOWS/NT, WINDOWS 2000 or WINDOWS/XP Server (Microsoft, Redmond, Wash.), Solaris (Sun Microsystems, Palo Alto, Calif.), or LINUX (or other UNIX variant). In one preferred embodiment, the hardware device 210 includes a pre-loaded, pre-configured, and hardened UNIX operating system based upon FreeBSD (FreeBSD, Inc., http://www.freebsd.org). In this embodiment, the UNIX kernel has been vastly reduced, eliminating non-essential user accounts, unneeded network services, and any functionality that is not required for security enhancement processing. The operating system code has been significantly modified to eliminate security vulnerabilities.
  • [0072]
    Depending upon the hardware/operating system platform, appropriate server software may be included to support the desired access for the purpose of configuration, monitoring and/or reporting. Web server functionality may be provided via an Internet Information Server (Microsoft, Redmond, Wash.), an Apache HTTP Server (Apache Software Foundation, Forest Hill, Md.), an iplanet Web Server (iPlanet E-Commerce Solutions—A Sun—Netscape Alliance, Mountain View, Calif.) or other suitable Web server platform. The e-mail services may be supported via an Exchange Server (Microsoft, Redmond, Wash.), sendmail or other suitable e-mail server. Some embodiments may include one or more automated voice response (AVR) systems that are in addition to, or instead of, the aforementioned access servers. Such an AVR system could support a purely voice/telephone driven interface to the environment with hard copy output delivered electronically to suitable hard copy output device (e.g., printer, facsimile, etc.), and forward as necessary through regular mail, courier, inter-office mail, facsimile or other suitable forwarding approach. In one preferred embodiment, an Apache server variant provides an interface for remotely configuring the hardware device 210. Configuration, monitoring, and/or reporting can be provided using some form of remote access device or software. In one preferred embodiment, SNMP is used to configure and/or monitor the device. In one preferred embodiment, any suitable remote client device is used to send and retrieve information and commands to/from the hardware device 210. Such a remote client device can be provided in the form of a Java client or a Windows-based client running on any suitable platform such as a conventional workstation or a handheld wireless device or a proprietary client running on an appropriate platform also including a conventional workstation or handheld wireless device.
  • [0073]
    Application Layer Electronic Communication Security Enhancement
  • [0074]
    [0074]FIG. 3 depicts a block diagram of the logical components of a security enhancement system according to the present invention. The overall analysis, reporting and monitoring functionality is represented by block 310, and anomaly detection is represented by block 370.
  • [0075]
    Blocks 320-360 represent different assessments that may be applied to electronic communications. These blocks are representative of assessments that may be performed and do not constitute an exhaustive representation of all possible assessments for all possible application server types. The terms “test” and “testing” may be used interchangeably with the terms “assess”, “assessment” or “assessing” as appropriate in the description herein and in the claims that follow.
  • [0076]
    Application specific firewall 320 provides functionality to protect against application-specific attacks. For instance in the context of e-mail, this assessment could protect against attacks directed towards Extended SMTP, buffer overflow, and denial of service.
  • [0077]
    Application specific IDS 330 provides real-time monitoring of activities specific to the application server. This may also retrieve information from multiple layers including the application layer, network layer and operating system layer. This compliments a network intrusion detection system by adding an additional layer of application specific IDS monitoring.
  • [0078]
    Application specific anti-virus protection and anti-spam protection 340 provides support for screening application specific communications for associated viruses and/or spam.
  • [0079]
    Policy management 350 allows definition of corporate policies with respect to the particular application in regard to how and what application specific communications are sent, copied or blocked. Executable attachments or communication components, often sources of viruses and/or worms, and/or questionable content can be stripped or quarantined before they get to the application server or client. Mail messages from competitors can be blocked or copied. Large messages can be relegated to off-peak hours to avoid network congestion.
  • [0080]
    Application encryption 360 provides sending and receiving application communications securely, potentially leveraging hardware acceleration for performance.
  • [0081]
    The application security system processes incoming communications and appears to network intruders as the actual application servers. This prevents the actual enterprise application server from a direct or indirect attack.
  • [0082]
    Electronic communications attempting to enter or leave a local communications network can be routed through present invention for assessment. The results of that assessment can determine if that message will be delivered to its intended recipient.
  • [0083]
    An incoming or outgoing communication, and attachments thereto, are received by a security system according to the present invention. The communication in one preferred embodiment is an e-mail message. In other embodiments, the communication may be an HTTP request or response, a GOPHER request or response, an FTP command or response, telnet or WAIS interactions, or other suitable Internet application communication.
  • [0084]
    The automated whitelist generation of the present invention allows the system to automatically create and/or maintain one or more whitelists based on the outbound email traffic. In some embodiments, the system can monitor outbound, and/or inbound, email traffic and thereby determine the legitimate email addresses to add to the whitelist. The software can use a set of metrics to decide which outbound addresses are actually legitimate addresses.
  • [0085]
    A data collection process occurs that applies one or more assessment strategies to the received communication. The multiple queue interrogation approach summarized above and described in detail below provides the data collection functionality in one preferred embodiment. Alternatively, the assessments may be performed on each received message in parallel. A separate processing element of the system processor would be responsible for applying each assessment to the received message. In other embodiments, multiple risk assessments may be performed on the received communication simultaneously using an approach such as a neural network. The application of each assessment, or the assessments in the aggregate, generates one or more risk profiles associated with the received communication. The risk profile or log file generated based upon the assessment of the received communication is stored in the SDS. The collected data may be used to perform threat analysis or forensics. This processing may take place after the communication is already received and forwarded.
  • [0086]
    In one preferred embodiment, particular assessments may be configurably enabled or disabled by an application administrator. An appropriate configuration interface system may be provided as discussed above in order to facilitate configuration by the application administrator.
  • [0087]
    An anomaly detection process analyzes the stored risk profile associated with the received communication in order to determine whether it is anomalous in light of data associated with previously received communications. In one preferred embodiment, the anomaly detection process summarized above and described in detail below supports this detection functionality. Anomaly detection in some embodiments may be performed simultaneously with assessment. For instance, an embodiment using a neural network to perform simultaneous assessment of a received communication for multiple risks may further analyze the received communication for anomalies; in such an embodiment, the data associated with the previously received communications may be encoded as weighting factors in the neural network.
  • [0088]
    In some embodiments, the thresholds for various types of anomalies may be dynamically determined based upon the data associated with previously received communications. Alternatively, an interface may be provided to an application administrator to allow configuration of particular thresholds with respect to individual anomaly types. In some embodiments, thresholds by default may be dynamically derived unless specifically configured by an application administrator.
  • [0089]
    Anomalies are typically detected based upon a specific time period. Such a time period could be a particular fixed period (e.g., prior month, prior day, prior year, since security device's last reboot, etc.) and apply to all anomaly types. Alternatively, the time period for all anomaly types, or each anomaly type individually, may be configurable by an application administrator through an appropriate interface. Some embodiments may support a fixed period default for all anomaly types, or each anomaly type individually, which may be overridden by application administrator configuration.
  • [0090]
    In one preferred embodiment, the stored risk profile associated with the received communication is aggregated with data associated with previously received communications of the same type. This newly aggregate data set is then used in analysis of subsequently received communications of that type.
  • [0091]
    If an anomaly is detected, an anomaly indicator signal is output. The outputted signal may include data identifying the anomaly detected and the communication in which the anomaly was detected. Various types of anomalies are discussed below with respect to e-mail application security. These types of anomalies may be detected using the specific detection approach discussed below or any of the aforementioned alternative anomaly detection approaches.
  • [0092]
    The outputted signal may trigger a further response in some embodiments; alternatively, the outputted signal may be the response. In one preferred embodiment, the outputted signal may be a notification to one or more designated recipient via one or more respective, specified delivery platform. For instance, the notification could be in the form of an e-mail message, a page, a facsimile, an SNMP (Simple Network Management Protocol) alert, an SMS (Short Message System) message, a WAP (Wireless Application Protocol) alert, OPSEC (Operations Security) warning a voice phone call or other suitable message. Alternatively, such a notification could be triggered by the outputted signal.
  • [0093]
    Using SNMP allows interfacing with network level security using a manager and agent; an example would be monitoring traffic flow through a particular router. OPSEC is a formalized process and method for protecting critical information. WAP is an open, global specification that empowers mobile users with wireless devices to easily access and interact with information and services instantly. An example would be formatting a WAP page to a wireless device that supports WAP when an anomaly is detected. WAP pages are stripped down versions of HTML and are optimized for wireless networks and devices with small displays. SMS is a wireless technology that utilizes SMTP and SNMP for transports to deliver short text messages to wireless devices such as a Nokia 8260 phone. SMS messages could be sent out to these devices to alert a user of an intrusion detection of anomaly alert.
  • [0094]
    Instead of or in addition to a notification, one or more corrective measures could be triggered by the outputted signal. Such corrective measures could include refusing acceptance of further communications from the source of the received communication, quarantining the communication, stripping the communication so that it can be safely handled by the application server, and/or throttling excessive numbers of incoming connections per second to levels manageable by internal application servers.
  • [0095]
    In one preferred embodiment, an interface may be provided that allows an application administrator to selectively configure a desired response and associated this configured response with a particular anomaly type such that when an anomaly of that type is detected the configured response occurs.
  • [0096]
    Finally, if an anomaly is detected with respect to a received communication, the communication may or may not be forwarded to the intended destination. Whether communications determined to be anomalous are forwarded or not may, in certain embodiments, be configurable with respect to all anomaly types. Alternatively, forwarding of anomalous communications could be configurable with respect to individual anomaly types. In some such embodiments, a default forwarding setting could be available with respect to any individual anomaly types not specifically configured.
  • [0097]
    Whitelisting
  • [0098]
    In one embodiment, the system can be configured so that communications matched to a whitelist entry may be subject to either no interrogation or less rigorous interrogation. Once a whitelist has at least one entry, the incoming message interrogation system can utilize it in connection with the interrogation of a message.
  • [0099]
    [0099]FIG. 10 depicts operations that can be performed on a whitelist to add an entry. Once an outgoing address passes any exclusion conditions 1005 described above, it can be added to a whitelist. The whitelist can be stored on the SDS. The system first checks to see if the address is already present on the list 1010. If present, the list can be updated with any new information 1015. Before new information is updated, the system can check for sufficient space in the SDS 1025. If sufficient space is not available, additional space is allocated from the SDS 1030. If an address is not found in a whitelist, an initial record can be added for that address. Before a new address is added to a whitelist 1040, the system can check for sufficient space in the SDS 1020. If sufficient space is not available, additional space is allocated from the SDS 1035. In many embodiments, explicit space allocation need not occur rather implicit space allocation occurs as a result of an information update 1015 or an add entry 1040.
  • [0100]
    The initial record for an outbound address can include the email address, the internal email address, the message sent time, usage count, last time used and/or any other characteristics one skilled in the art would find relevant or useful. In the case of an email address that is already present on a whitelist, the system can use a separate record for each instance of that email address being used as an outbound address or the system can maintain a single record for each outbound address with a summary of information in that entry, including information describing instances of use. The system can store records in a number of other ways using different data structures. The records may include other representations of data in addition to the email address, including by not limited to a hash of the email address.
  • [0101]
    In a preferred embodiment, the system can store records in a MySQL database. As a non-limiting example, the following command can be used to build a database comprising the external and internal email addresses, date of last update, and an occurrence counter.
    create table ct_whitelist
    (out_emailaddress varchar(255) not null, External email
    address
    in_emailaddress varchar(255) not null, Internal email
    address
    lastupdatetime datetime, Last update of this
    address
    curr_count integer, Address occurrence
    ); counter
  • [0102]
    Maintaining the Whitelist
  • [0103]
    In some embodiments, the system can allow unlimited storage. In other embodiments, the storage available for the list can be limited. In still other embodiments, the system can allow for management of the size of the list. A number of caching techniques can be used, including but not limited to first in first out and least recently used. Other techniques can include an accounting of the number of internal users that reported the outbound address. List cleanup can occur in real-time or periodically. Additionally, one skilled in the art will recognize that a wide variety of list management techniques and procedures can be used to manage a whitelist in connection with the present invention.
  • [0104]
    Whitelist Usage
  • [0105]
    An example of a system using a whitelist according to the present invention is shown in FIG. 9. One or more relevant parameters of inbound communication 905 are compared against one or more whitelists 910. In some embodiments, the whitelist is checked at each incoming email message. In a preferred embodiment, the comparison includes origination email addresses. If the check against a whitelist 910 reveals no match, then the message is subject to normal message interrogation 915. Normal message interrogation can employ analysis criteria that are the most sensitive to spam or other threats as discussed hereinabove. If a message passes normal interrogation 915, i.e. it is determined not to be spam or a threat (or to have a lower likelihood of being spam or a threat), it can be presented to its intended recipient for delivery 920. If the check against a whitelist 910 reveals a match, the system can be configured to process the message in a variety of ways. In one embodiment, the system can be programmed or arranged to bypass 925 any message interrogation and deliver the message to its intended recipient 920. In an alternative embodiment, the system can be programmed or arranged to process the message using adaptive message interrogation 930. If adaptive message interrogation 930 determines a message is not spam, it can forward the message for delivery 920.
  • [0106]
    In some embodiments, both options 925, 930 are selectively available. The decision whether to pass whitelisted communications through adaptive message interrogation 930 or to bypass any message interrogation 925 can be made per deployment or can be based on the details of the whitelist entry. For instance, messages from more frequently used outbound address can bypass 925 interrogation completely whereas messages from less frequently used outbound addresses can be subjected to adaptive message interrogation 930.
  • [0107]
    If the message goes through normal or adaptive interrogation with the whitelist information, the interrogation module can utilize the whitelist information to effect the type and/or level of interrogation. In some preferred embodiments, the adaptive message interrogation can use multiple levels of trust, as further described below and in FIG. 11. In other embodiments, the adaptive message interrogation can set a confidence indicator indicative of the confidence the interrogator has in its characterization.
  • [0108]
    Messages that are not delivered to the intended recipient can be either quarantined or deleted. In an alternative embodiment, messages determined to be spam can be indicated as spam or a threat and forwarded to the intended recipient.
  • [0109]
    Additionally, each outbound email address can be assigned a confidence value. According to the confidence value associated with a given incoming email address, incoming messages can be subjected to variable levels of interrogation. In one preferred embodiment, incoming messages associated with lower confidence values are subjected to more aggressive spam interrogation and incoming messages associated with higher confidence values are subjected to less aggressive spam interrogation. In other embodiments, the message can be given positive credits to offset any negative spam detection points based on the confidence value.
  • [0110]
    One preferred embodiment of the system allows some or all external email recipients to be whitelisted 935. Some embodiments can have a metric that describes the number of outgoing messages to a particular email address. When the metric reaches a certain threshold, the email address can be whitelisted. Other embodiments can include the ability to track addresses over time. In those embodiments, if the metric exceeds a certain value for a particular outbound email address during a particular time, then that entry can be whitelisted.
  • [0111]
    The parameters described above may be configurable by an application administrator through an appropriate interface. Some embodiments may support fixed parameters which may be overridden by application administrator configuration.
  • [0112]
    In some embodiments, the threshold for characterization as spam or a threat may be dynamically determined based upon the data associated with previously received communications. Alternatively, an interface may be provided to an application administrator to allow configuration of particular thresholds with respect to individual addresses. In some embodiments, thresholds by default may be dynamically derived unless specifically configured by an application administrator.
  • [0113]
    When spam or a threat is detected, instead of, or in addition to, a notification, one or more response measures could be triggered. Such responsive measures could include refusing acceptance of further communications from the source of the received communication, quarantining the communication, stripping the communication so that it can be forwarded to its intended recipient, and/or throttling excessive numbers of incoming communications from certain sources.
  • [0114]
    Authenticated Whitelist
  • [0115]
    One issue with whitelists is that attackers or spammers can pretend to send messages from whitelisted addresses and therefore bypass filtering and anti-spam tools. It is relatively easy for an attacker to forge the sender information on messages. To overcome this limitation of whitelists, the system of the present invention allows the authentication of the sender information. There are several methods for integrating sender authentication with a whitelist system. In one embodiment, only authenticated senders can be whitelisted. Such a procedure can reduce the likelihood of forged senders being whitelisted. However, in many environments, the percentage of messages that are authenticated is low, thereby reducing the effectiveness of whitelisting. Some embodiments of the present invention can allow both authenticated and unauthenticated senders to be whitelisted. In these embodiments, a higher trust value is given to messages from authenticated senders. SMIME and PGP offer mechanism for providing authentication.
  • [0116]
    One such embodiment is depicted in FIG. 11. As a non-limiting example, when a message 1105 is received from a sender on a whitelist 1115 an associated level of trust is retrieved or calculated 1135. In some embodiments, the trust level value is a single value associated with the whitelist entry that simply requires retrieval. In other embodiments, the trust level value can be calculated as a weighted sum of various characteristics of the entry; in some such embodiments, the weights can be statically defined, defaulted subject to override by a user or other computer system or dynamically configurable. That associated level of trust can be compared to a threshold level 1140. Any communications that have a trust level that meets or exceeds the trust level threshold can bypass message interrogation 1120 while communications that do not have a trust sufficient trust level will be processed with at least some interrogation 1125. Messages that bypass interrogation 1120 as well as messages that pass interrogation 1125 can be delivered to the intended recipient 1145. In such an embodiment, messages not associated with a whitelist entry are subjected to interrogation and further processing 1150.
  • [0117]
    Some embodiments of the present invention can allow the trust level threshold 1130 to be configured by an administrator, other user of the system or other computer systems.
  • [0118]
    Exclusions from Whitelist
  • [0119]
    The spam/threat detection according to present invention examines every outbound message and maintains a list of known outbound email addresses. The resulting list can then be used as the list of trusted senders. However, it may not be advisable in all cases to add every outbound message recipient to the list of trusted senders for incoming mail. For example, while a user may send a message to a newsgroup, that does not indicate that messages from this newsgroup should necessarily bypass mail filtering. To further illustrate, a user may send an unsubscribe message to a newsletter or in response to a spam message. Thus, there can be situations in which unconditional whitelist addition is not advisable. The system of the present invention allows certain exclusion conditions to be entered and applied.
  • [0120]
    These exclusion conditions can include rule sets, heuristics, artificial intelligence, decision trees, or any combination thereof. The conditions can be set by and administrator or other user of the system.
  • [0121]
    Multiple Queue Approach to Interrogation of Electronic Communications
  • [0122]
    With reference to FIG. 7, a multiple queue approach is provided for applying a plurality of risk assessments to a received communication.
  • [0123]
    Messages are first placed in an unprocessed message store 730, a portion of the SDS, for advanced processing and administration. Messages come in from an external source 740 and are placed in this store 730. This store 730 maintains physical control over the message until the end of the process or if a message does not pass interrogation criteria and is, therefore, quarantined.
  • [0124]
    An index to the message in the store 730 is used to pass through each of the queues 771B, 781B-784B, 791B in the queuing layer 720 and to the interrogation engines 771A, 781A-784A, 791A instead of the actual message itself to provide scalability and performance enhancements as the index is significantly smaller than the message itself.
  • [0125]
    Both the queues and the interrogation engines use the index to point back to the actual message in the unprocessed message store 730 to perform actions on the message. Any suitable index allocation approach may be used to assign an index to a received message, or communication. For instances, indices may be assigned by incrementing the index assigned to the previously received communication beginning with some fixed index such as 0 for the first received communication; the index could be reset to the fixed starting point after a sufficiently large index has been assigned. In some embodiments, an index may be assigned based upon characteristics of the received communication such as type of communication, time of arrival, etc.
  • [0126]
    This approach provides independent processing of messages by utilizing a multi-threaded, multi-process methodology, thereby providing a scalable mechanism to process high volumes of messages by utilizing a multi-threaded, multi-process approach.
  • [0127]
    By processing messages independently, the queuing layer 720 decides the most efficient means of processing by either placing an index to the message on an existing queue or creating a new queue and placing the index to the message on that queue. In the event that a new queue is created, a new instance of the particular interrogation engine type will be created that will be acting on the new queue.
  • [0128]
    Queues can be added or dropped dynamically for scalability and administration. The application administrator can, in one preferred embodiment, configure the original number of queues to be used by the system at start-up. The administrator also has the capability of dynamically dropping or adding specific queues or types of queues for performance and administration purposes. Each queue is tied to a particular interrogation engine where multiple queues and multiple processes can exist.
  • [0129]
    Proprietary application-specific engines can act on each queue for performing content filtering, rules-based policy enforcement, and misuse prevention, etc. A loosely coupled system allows for proprietary application-specific applications to be added enhancing functionality.
  • [0130]
    This design provides the adaptive method for message interrogation. Application-specific engines act on the message via the index to the message in the unprocessed message store for completing content interrogation.
  • [0131]
    Administration of the queues provides for retrieving message details via an appropriate interface such as a Web, e-mail and/or telephone based interface system as discussed above in order to facilitate access and management by the application administrator. Administration of the queues allows the administrator to select message queue order (other than the system default) to customize the behavior of the system to best meet the needs of the administrator's particular network and system configuration.
  • [0132]
    FIGS. 8A-8B are flow charts depicting use of the multiple queue approach to assess risk associated with a received communication. At step 802 a determination is made if the start-up of the process is being initiated; if so, steps 805 and 807 are performed to read appropriate configuration files from the SDS to determine the type, number and ordering of interrogation engines and the appropriate queues and instances are created. If not, the process waits at step 810 for receipt of a communication.
  • [0133]
    Upon receipt at step 812, the communication is stored in a portion of the SDS referred to as the unprocessed message store. The communication is assigned at step 815 an index used to uniquely identify it in the unprocessed message store, and this index is placed in the first queue based upon the ordering constraints.
  • [0134]
    The processing that occurs at step 810 awaiting receipt of communication continues independently of the further steps in this process, and will consequently spawn a new traversal of the remainder of the flow chart with each received communication. In some embodiments, multiple instances of step 810 may be simultaneously awaiting receipt of communications.
  • [0135]
    In some embodiments, the receipt of a communication may trigger a load evaluation to determine if additional interrogation engines and associated queues should be initiated. In other embodiments, a separate process may perform this load analysis on a periodic basis and/or at the direction of an application administrator.
  • [0136]
    The index moves through the queue 820 until it is ready to be interrogated by the interrogation engine associated with the queue as determined in step 825. This incremental movement is depicted as looping between steps 820 and 825 until ready for interrogation. If the communication is not ready for evaluation at step 825, the communication continues moves to move through the queue at step 820. If the communication is ready, the index is provided to the appropriate interrogation engine at step 830 in FIG. 8B.
  • [0137]
    The interrogation engine processes the communication based upon its index in step 830. Upon completion of interrogation in step 835, the interrogation creates a new risk profile associated with the received communication based upon the interrogation.
  • [0138]
    If additional interrogations are to occur (step 840), the index for the communication is place in a queue for an instance of the next interrogation type in step 845. Processing continues with step 820 as the index moves through this next queue.
  • [0139]
    If no more interrogations are required (step 840), a further check is made to determine if the communication passed interrogation by all appropriate engines at step 850. If the communication passed all interrogations, then it is forwarded to its destination in step 855 and processing with respect to this communication ends at step 870.
  • [0140]
    If the communication failed one or more interrogation as determined at step 850, failure processing occurs at step 860. Upon completion of appropriate failure processing, processing with respect to this communication ends at step 870.
  • [0141]
    Failure processing may involve a variety of notification and/or corrective measures. Such notifications and/or corrective measures may include those as discussed above and in further detail below with respect to anomaly detection.
  • [0142]
    Anomaly Detection Process
  • [0143]
    The Anomaly Detection process according to an exemplary embodiment of the present invention uses three components as depicted in FIG. 6:
  • [0144]
    1. Collection Engine
  • [0145]
    This is where the actual collection of data occurs. The collection engine receives a communication directed to or originating from an application server. One or more tests are applied to the received communication. These one or more tests may correspond to the various risk assessments discussed above.
  • [0146]
    The collection engine in one preferred embodiment as depicted in FIG. 6 uses the multiple queue approach discussed above; however, this particular collection engine architecture is intended as exemplary rather than restrictive with respect to collection engines usable within the context of this anomaly detection process.
  • [0147]
    As depicted in FIG. 6, the collection engine includes one or more interrogation engines of one or more interrogation engine types in an interrogation layer 610. Associated with each interrogation engine type in a queuing layer 620 is at least one indices queue containing the indices of received communication awaiting interrogation by an interrogation engine of the associated type. Collectively, the queuing layer 620 and the interrogation layer 610 form the collection engine. A received communication is received, stored in the SDS and assigned an index. The index is queued in the queuing layer for processing through the collection engine.
  • [0148]
    2. Analysis Engine
  • [0149]
    The data collected by the previous component is analyzed for unusual activity by the anomaly detection engine 640. The analysis is based on data accumulated from analysis of previously received communications over a period of time. A set of predefined heuristics may be used to detect anomalies using dynamically derived or predetermined thresholds. A variety of anomaly types may be defined generally for all types of Internet application communications while others may be defined for only particular application types such as e-mail or Web. The data associated with previously received communications and appropriate configuration data 630 are stored in the SDS.
  • [0150]
    The set of anomaly types that the analysis engine will detect may be selected from a larger set of known anomaly types. The set of interest may be set at compile time or configurable at run time, or during execution in certain embodiments. In embodiments using the set approach all anomaly types and configuration information are set within the analysis engine. In some such embodiments, different sets of anomalies may be of interest depending upon the type of communication received. In configurable at run time embodiments, anomaly types are read from a configuration file or interactively configured at run time of the analysis engine. As with the set approach, certain anomaly types may be of interest with respect to only selected types of communication. Finally, in some embodiments (including some set or configurable ones), an interface such as described above may be provided allowing reconfiguration of the anomaly types of interest and parameters associated therewith while the analysis engine is executing.
  • [0151]
    The thresholds for various types of anomalies may be dynamically determined based upon the data associated with previously received communications. Alternatively, an interface may be provided to an application administrator to allow configuration of particular thresholds with respect to individual anomaly types. In some embodiments, thresholds by default may be dynamically derived unless specifically configured by an application administrator.
  • [0152]
    Anomalies are typically detected based upon a specific time period. Such a time period could be a particular fixed period (e.g., prior month, prior day, prior year, since security device's last reboot, etc.) and apply to all anomaly types. Alternatively, the time period for all anomaly types, or each anomaly type individually, may be configurable by an application administrator through an appropriate interface such as those discussed above. Some embodiments may support a fixed period default for all anomaly types, or each anomaly type individually, which may be overridden by application administrator configuration.
  • [0153]
    In one preferred embodiment, as depicted in FIG. 6, information from the risk profiles 642, 644, 646 generated by the collection engine is compared with the acquired thresholds for anomaly types of interest. Based upon these comparisons, a determination is made as to whether the received communication is anomalous, and if so, in what way (anomaly type) the communication is anomalous.
  • [0154]
    In one preferred embodiment, the stored risk profile associated with the received communication is aggregated with data associated with previously received communications of the same type. This newly aggregate data set is then used in analysis of subsequently received communications of that type.
  • [0155]
    If an anomaly is detected, an anomaly indicator signal is output. The outputted signal may include data identifying the anomaly type detected and the communication in which the anomaly was detected such as alert data 650. Various types of anomalies are discussed below with respect to e-mail application security. These types of anomalies may be detected using the specific detection approach discussed below or any of the aforementioned alternative anomaly detection approaches.
  • [0156]
    3. Action Engine
  • [0157]
    Based on the analysis, this component takes a decision of what sort of action needs to be triggered. Generally the action involves alerting the administrator of the ongoing unusual activity. An alert engine 660 performs this task by providing any appropriate notifications and/or initiating any appropriate corrective actions.
  • [0158]
    The outputted signal may trigger a further response in some embodiments; alternatively, the outputted signal may be the response. In one preferred embodiment, the outputted signal may be a notification to one or more designated recipient via one or more respective, specified delivery platform. For instance, the notification could be in the form of an e-mail message, a page, a facsimile, an SNMP alert, an SMS message, a WAP alert, OPSEC warning a voice phone call or other suitable message. Alternatively, such a notification could be triggered by the outputted signal.
  • [0159]
    Instead of or in addition to a notification, one or more corrective measures could be triggered by the outputted signal. Such corrective measures could include refusing acceptance of further communications from the source of the received communication, quarantining the communication, stripping the communication so that it can be safely handled by the application server, and/or throttling excessive numbers of incoming connections per second to levels manageable by internal application servers.
  • [0160]
    In one preferred embodiment, an interface may be provided that allows an application administrator to selectively configure a desired response and associate this configured response with a particular anomaly type such that when an anomaly of that type is detected the configured response occurs.
  • [0161]
    [0161]FIG. 4 depicts a flow chart in a typical anomaly detection process according to one preferred embodiment of the present invention. The process starts in step 410 by initializing various constraints of the process including the types of anomalies, thresholds for these types and time periods for which prior data is to be considered. This information may be configured interactively at initiation. In addition to, or instead of, the interactive configuration, previously stored configuration information may be loaded from the SDS.
  • [0162]
    The process continues at step 420 where anomaly definitional information is read (e.g., Incoming messages that have the same attachment within a 15 minute interval.). A determination is then made as to whether a new thread is needed; this determination is based upon the read the anomaly details (step not shown). In step 430, if a new thread is required, the thread is spun for processing in step 450. In step 440, the process sleeps for a specified period of time before returning to step 420 to read information regarding an anomaly.
  • [0163]
    Once processing of the new thread commences in step 450, information needed to evaluate the anomaly is retrieved from appropriate locations in the SDS, manipulated if needed, and analyzed in step 460. A determination in step 470 occurs to detect an anomaly. In one preferred embodiment, this step uses predetermined threshold values to make the determination; such predetermined threshold values could be provided interactively or via a configuration file. If an anomaly is not detected, the process stops.
  • [0164]
    If an anomaly is detected, an anomaly indicator signal is output at step 480 which may result in a notification. The possible results of anomaly detection are discussed in more detail above with respect to the Action Engine.
  • [0165]
    The types of anomalies may vary depending upon the type and nature of the particular application server. The following discussion provides exemplary definitions of anomalies where e-mail is the application context in question. Anomalies similar, or identical, to these can be defined with respect to other application server types.
  • [0166]
    There are many potential anomaly types of interest in an e-mail system. The analysis is based on the collected data and dynamic rules for normality based on the historic audited data. In some embodiments, an application administrator can be provided with an interface for configuring predefined rules with respect to different anomaly types. FIG. 5 provides a sample screen for such an interface. The interface functionality may be provided via a Web server running on the security enhancement device or other suitable interface platform as discussed above.
  • [0167]
    In one preferred embodiment, the threshold value for the analysis for each anomaly is derived from an anomaly action table. The action for each anomaly is also taken from this table. The analysis identifies that some thing unusual has occurred and hands over to the action module. Enumerated below with respect to e-mail are anomalies of various types.
  • [0168]
    1. Messages from same IP Address—The point of collection for this anomaly is SMTPI/SMTPIS service. SMTPI/SMTPIS has information about the IP address from which the messages originate. The IP address is stored in the SDS. The criterion for this anomaly is that the number of message for the given period from the same IP address should be greater than the threshold. Based on the level of threshold, suitable alert is generated.
  • [0169]
    2. Messages from same Address (MAIL FROM)—The point of collection for this anomaly is SMTPI/SMTPIS service. SMTPIeSMTPIS has information about the address (MAIL FROM) from which the messages originate. The determined address is stored in the SDS. The criterion for this anomaly is that the number of message for the given period with the same MAIL FROM address should be greater than the threshold. Based on the level of threshold, suitable alert is generated.
  • [0170]
    3. Messages having same Size—The point of collection for this anomaly is SMTPI/SMTPIS service. SMTPI/SMTPIS has information about the size of the messages. The size of the message is stored in the SDS. This size denotes the size of the message body and does not include the size of the headers. The criterion for this anomaly is that the number of message for the given period with a same size should be greater than the threshold. Based on the level of threshold, suitable alert is generated.
  • [0171]
    4. Messages having same Subject—The point of collection for this anomaly is SMTPI/SMTPIS service. SMTPI/SMTPIS has information about the subject line of the message. The subject line information for the message is stored in the SDS. The criterion for this anomaly is that the number of message for the given period with the same subject line should be greater than the threshold. Based on the level of threshold, suitable alert is generated.
  • [0172]
    5. Messages having same Attachment—The point of collection for this anomaly is the MIME Ripper Queue. The MIME Ripper Queue parses the actual message into the constituent MIME parts and stores the information in the SDS. A part of this information is the attachment file name. The criterion for this anomaly is that the number of message for the given period with same attachment name should be greater than the threshold. Based on the level of threshold, suitable alert is generated.
  • [0173]
    6. Messages having same Attachment Extension—The point of collection for this anomaly is the MIME Ripper Queue. The MIME Ripper Queue parses the actual message into the constituent MIME parts and stores the information in the SDS. A part of this information is the attachment file extension. The criterion for this anomaly is that the number of message for the given period with same extension should be greater than the threshold. Based on the level of threshold, suitable alert is generated.
  • [0174]
    7. Messages having Viruses—This anomaly will be detected only if any of the anti-virus queues are enabled. The point of collection for this anomaly is the anti-virus Queue. The anti-virus Queue scans for any viruses on each individual MIME parts of the message. The scan details are stored in the SDS. A part of this information is the virus name. The criterion for this anomaly is that the number of message for the given period detected with viruses should be greater than the threshold. Based on the level of threshold, suitable alert is generated.
  • [0175]
    8. Messages having same Virus—This anomaly will be detected only if any of the anti-virus queues are enabled. The point of collection for this anomaly is the anti-virus Queue. The anti-virus Queue scans for any viruses on each individual MIME parts of the message. The scan details are entered into the SDS. A part of this information is the virus name. The criterion for this anomaly is that the number of message for the given period detected with same virus should be greater than the threshold. Based on the level of threshold, suitable alert is generated.
  • [0176]
    The table below depicts the fields in an anomaly table in one preferred embodiment using a relational database model for storing this information in the SDS.
    Sl No. Field Name Data Type Remarks
    1. anm_type int Primary key. Unique
    identifier for all
    anomalies. The list is
    given in next section.
    2. anm_name varchar Name of the Anomaly
    (Tag for the UI to
    display)
    3. can_display tinyint Anomaly is displayable
    or not in UI.
    0—Do not display
    1—Display
    4. is_enabled tinyint Specifies if the anomaly
    is enabled or not
    0—Disabled
    1—Enabled
    5. anm_period int Time in minutes. This
    time specifies the period
    for the anomaly check.
  • [0177]
    The table below depicts the fields in an anomaly action table in one preferred embodiment using a relational database model for storing this information in the SDS.
    Sl No. Field Name Data Type Remarks
    1. anm_type int Foreign key from
    anomaly table.
    2. anm_thresh int This value specifies the
    threshold for a particular
    action to be taken.
    3. alert_type int This is foreign key from
    alert type table. This
    value specifies the type
    of alert to be sent to the
    alert manager when this
    anomaly is detected.
  • [0178]
    Throughout this application, various publications may have been referenced. The disclosures of these publications in their entireties are hereby incorporated by reference into this application in order to more fully describe the state of the art to which this invention pertains.
  • [0179]
    The embodiments described above are given as illustrative examples only. It will be readily appreciated by those skilled in the art that many deviations may be made from the specific embodiments disclosed in this specification without departing from the invention. Accordingly, the scope of the invention is to be determined by the claims below rather than being limited to the specifically described embodiments above.

Claims (31)

    What is claimed is:
  1. 1. A system for detecting an unsolicited communication transmitted over a communications network, the system comprising:
    a) an interface coupling the system with the communications network;
    b) a system data store capable of storing data associated with communications transmitted over the communications network and one or more whitelists;
    c) a system processor in communication with the interface and the system data store, wherein the system processor comprises one or more processing elements and wherein the system processor:
    1) receive a communication via the interface;
    2) compares the communication to at least one whitelist; and
    3) modifies at least one whitelist based on the communication.
  2. 2. The system of claim 1, wherein the system processor is programmed or adapted to modify the at least one whitelist by updating the at least one whitelist with data derived from the received communication.
  3. 3. The system of claim 1, wherein the system processor is further programmed or adapted to modify the at least one whitelist by updating the at least one whitelist with data derived from inbound or outbound communication traffic patterns.
  4. 4. The system of claim 3, wherein the system processor modifies the at least one whitelist by updating the at least one whitelist with data derived from inbound and outbound communication traffic patterns.
  5. 5. The system of claim 1, wherein the system processor is programmed or adapted to modify the at least one whitelist by adding an entry to the at least one whitelist corresponding to a destination address associated with the received communication.
  6. 6. The system of claim 1, wherein the system processor is further programmed or adapted to assign a confidence level to received communications.
  7. 7. The system of claim 6, wherein the system processor is further programmed or adapted to forward a communication with an indication of its confidence level.
  8. 8. The system of claim 1, wherein the communication is transmitted or received over the Internet.
  9. 9. The system of claim 8, wherein the communication is an e-mail communication.
  10. 10. The system of claim 1, wherein the communication comprises an e-mail communication, an HTTP communication, an FTP communication, a WAIS communication, a telnet communication or a Gopher communication.
  11. 11. The system of claim 1, wherein the system processor is further programmed pr adapted to provide an interface for modifying the at least one whitelist.
  12. 12. The system of claim 11, wherein the system processor is further programmed or adapted to receive information from the provided interface and apply changes to at least one whitelist based on information received from the interface.
  13. 13. The system of claim 11, wherein the interface provides for manual editing of the at least one whitelist.
  14. 14. The system of claim 1, wherein the system processor is further programmed or adapted to determine deliverability of a received communication by applying one or more tests.
  15. 15. The system of claim 14, wherein received communications determined to be undeliverable are quarantined, discarded, or forwarded.
  16. 16. The system of claim 14, wherein the system processor is further programmed or adapted to forward the received communication for delivery if it was determined to be deliverable.
  17. 17. The system of claim 14, wherein the system processor applies each of the one or more tests in a parallel fashion.
  18. 18. The system of claim 14, wherein the system processor applies each of the one or more tests in a sequential fashion.
  19. 19. The system of claim 14, wherein the system data store stores configuration information and wherein the system processor applies each of the one or more tests based upon configuration information stored in the system data store.
  20. 20. The system of claim 14, wherein the system processor determines deliverability by calculating an level of trust.
  21. 21. The system of claim 20, wherein the system processor determines deliverability by comparing the level of trust to a threshold level.
  22. 22. The system of claim 14, wherein the system processor determines whether to deliver a received communication further based upon configuration information stored in the system data store.
  23. 23. The system of claim 22, wherein the configuration information comprises communication types, confidence information, time period information, or combinations thereof.
  24. 24. The system of claim 14, wherein the system processor is further programmed or adapted to select the one or more tests to determine deliverability.
  25. 25. The system of claim 24, wherein the system processor selects the one or more tests based upon communication type, configuration information, or combinations thereof.
  26. 26. The system of claim 24, wherein the system processor is further programmed or adapted to compare a received communication to the at least one whitelist and wherein the system processor selects the one or more tests based upon the comparison.
  27. 27. The system of claim 14, wherein the system processor is further programmed or adapted to compare a received communication to the at least one whitelist and to selectively bypass the determination of deliverability based upon the comparison.
  28. 28. A method for detecting an unsolicited communication transmitted over a communications network, the method comprising the steps of:
    a) providing an interface for manually modifying at least one whitelist;
    b) receiving an outbound communication of a type selected from the group consisting of an e-mail communication, an HTTP communication, an FTP communication, a WAIS communication, a telnet communication and a Gopher communication;
    c) storing the received outbound communication; and
    d) modifying the at least one whitelist by adding or modifying an entry on the at least one white list based upon a destination of the received outbound communication.
  29. 29. The method of claim 28, and further comprising the steps of:
    a) receiving an inbound communication;
    b) comparing the received inbound communication to the at least one whitelist;
    c) selecting a plurality of trust level tests based on a type associated with the received inbound communication, configuration information, the whilelist comparison or combinations thereof;
    d) determining deliverability of the received inbound communication by applying the selected plurality of trust level tests;
    e) assigning a confidence level to the communication based upon the determined deliverability; and
    f) quarantining, discarding, or forwarding the received communication based on the assigned confidence level.
  30. 30. A system for detecting an unsolicited communication transmitted over a communications network, the system comprising:
    a) means for receiving an electronic communication;
    b) direction determination means for determining if the received electronic communication is inbound or outbound;
    c) whitelist modification means for updating at least one whitelist based upon a received communication determined to be outbound by the direction determination means by adding an entry or updating an existing entry in the at least one whitelist based upon the received communication; and
    d) communication disposition means for disposing of a received communication determined to be inbound by the direction determination means by:
    1) comparing the received inbound communication to the at least one whitelist;
    2) selecting a plurality of trust level tests based on a type associated with the received inbound communication, configuration information, the whilelist comparison or combinations thereof;
    3) assigning a confidence level to the communication based upon the determined deliverability; and
    4) quarantining, discarding, or forwarding the received communication based on the assigned confidence level.
  31. 31. Computer readable media storing instruction that upon execution by a system processor cause the system processor to automatically generate a whitelist based upon received outbound communication by performing the steps comprising of:
    a) providing an interface for manually modifying at least one whitelist;
    b) receiving an outbound communication of a type selected from the group consisting of an e-mail communication, an HTTP communication, an FTP communication, a WAIS communication, a telnet communication and a Gopher communication;
    c) storing the received outbound communication; and
    d) modifying the at least one whitelist by adding or modifying an entry on the at least one white list based upon a destination of the received outbound communication.
US10361067 2002-03-08 2003-02-07 Systems and methods for automated whitelisting in monitored communications Abandoned US20030172291A1 (en)

Priority Applications (4)

Application Number Priority Date Filing Date Title
US10093553 US6941467B2 (en) 2002-03-08 2002-03-08 Systems and methods for adaptive message interrogation through multiple queues
US10094266 US7124438B2 (en) 2002-03-08 2002-03-08 Systems and methods for anomaly detection in patterns of monitored communications
US10094211 US7458098B2 (en) 2002-03-08 2002-03-08 Systems and methods for enhancing electronic communication security
US10361067 US20030172291A1 (en) 2002-03-08 2003-02-07 Systems and methods for automated whitelisting in monitored communications

Applications Claiming Priority (16)

Application Number Priority Date Filing Date Title
US10361067 US20030172291A1 (en) 2002-03-08 2003-02-07 Systems and methods for automated whitelisting in monitored communications
EP20120189413 EP2562976B1 (en) 2002-03-08 2003-03-06 Systems and Methods for Enhancing Electronic Communication Security
PCT/US2003/007042 WO2003077071A3 (en) 2002-03-08 2003-03-06 Systems and methods for enhancing electronic communication security
CA 2478299 CA2478299C (en) 2002-03-08 2003-03-06 Systems and methods for enhancing electronic communication security
EP20120189404 EP2562986B1 (en) 2002-03-08 2003-03-06 Systems and methods for enhancing electronic communication security
EP20120189412 EP2562975A1 (en) 2002-03-08 2003-03-06 Systems and methods for enhancing electronic communication security
EP20030723691 EP1488316B1 (en) 2002-03-08 2003-03-06 Systems and methods for enhancing electronic communication security
EP20120189407 EP2562987A1 (en) 2002-03-08 2003-03-06 Systems and methods for enhancing electronic communication security
JP2003575222A JP4688420B2 (en) 2002-03-08 2003-03-06 System and method for enhancing the electronic security
US11142943 US20060015942A1 (en) 2002-03-08 2005-06-02 Systems and methods for classification of messaging entities
US11173941 US8132250B2 (en) 2002-03-08 2005-07-01 Message profiling systems and methods
US11383347 US7903549B2 (en) 2002-03-08 2006-05-15 Content-based policy compliance systems and methods
US11423329 US7870203B2 (en) 2002-03-08 2006-06-09 Methods and systems for exposing messaging reputation to an end user
US11423313 US8578480B2 (en) 2002-03-08 2006-06-09 Systems and methods for identifying potentially malicious messages
US11423308 US7693947B2 (en) 2002-03-08 2006-06-09 Systems and methods for graphically displaying messaging traffic
US13185653 US8549611B2 (en) 2002-03-08 2011-07-19 Systems and methods for classification of messaging entities

Related Parent Applications (4)

Application Number Title Priority Date Filing Date
US10093553 Continuation-In-Part US6941467B2 (en) 2002-03-08 2002-03-08 Systems and methods for adaptive message interrogation through multiple queues
US10094266 Continuation-In-Part US7124438B2 (en) 2002-03-08 2002-03-08 Systems and methods for anomaly detection in patterns of monitored communications
US10094211 Continuation-In-Part US7458098B2 (en) 2002-03-08 2002-03-08 Systems and methods for enhancing electronic communication security
US10384924 Continuation-In-Part US7694128B2 (en) 2002-03-08 2003-03-06 Systems and methods for secure communication delivery

Related Child Applications (3)

Application Number Title Priority Date Filing Date
US10361091 Continuation-In-Part US7096498B2 (en) 2002-03-08 2003-02-07 Systems and methods for message threat management
US10373325 Continuation-In-Part US7213260B2 (en) 2002-03-08 2003-02-24 Systems and methods for upstream threat pushback
US11423313 Continuation-In-Part US8578480B2 (en) 2002-03-08 2006-06-09 Systems and methods for identifying potentially malicious messages

Publications (1)

Publication Number Publication Date
US20030172291A1 true true US20030172291A1 (en) 2003-09-11

Family

ID=29554084

Family Applications (8)

Application Number Title Priority Date Filing Date
US10361091 Active 2023-05-26 US7096498B2 (en) 2002-03-08 2003-02-07 Systems and methods for message threat management
US10361067 Abandoned US20030172291A1 (en) 2002-03-08 2003-02-07 Systems and methods for automated whitelisting in monitored communications
US10373325 Active 2023-01-02 US7213260B2 (en) 2002-03-08 2003-02-24 Systems and methods for upstream threat pushback
US11388575 Active US7225466B2 (en) 2002-03-08 2006-03-24 Systems and methods for message threat management
US11456954 Active 2023-02-06 US8042181B2 (en) 2002-03-08 2006-07-12 Systems and methods for message threat management
US11456960 Active 2024-10-11 US8069481B2 (en) 2002-03-08 2006-07-12 Systems and methods for message threat management
US11754669 Active 2022-12-05 US8042149B2 (en) 2002-03-08 2007-05-29 Systems and methods for message threat management
US13305029 Active 2022-03-26 US8631495B2 (en) 2002-03-08 2011-11-28 Systems and methods for message threat management

Family Applications Before (1)

Application Number Title Priority Date Filing Date
US10361091 Active 2023-05-26 US7096498B2 (en) 2002-03-08 2003-02-07 Systems and methods for message threat management

Family Applications After (6)

Application Number Title Priority Date Filing Date
US10373325 Active 2023-01-02 US7213260B2 (en) 2002-03-08 2003-02-24 Systems and methods for upstream threat pushback
US11388575 Active US7225466B2 (en) 2002-03-08 2006-03-24 Systems and methods for message threat management
US11456954 Active 2023-02-06 US8042181B2 (en) 2002-03-08 2006-07-12 Systems and methods for message threat management
US11456960 Active 2024-10-11 US8069481B2 (en) 2002-03-08 2006-07-12 Systems and methods for message threat management
US11754669 Active 2022-12-05 US8042149B2 (en) 2002-03-08 2007-05-29 Systems and methods for message threat management
US13305029 Active 2022-03-26 US8631495B2 (en) 2002-03-08 2011-11-28 Systems and methods for message threat management

Country Status (3)

Country Link
US (8) US7096498B2 (en)
EP (4) EP2562976B1 (en)
JP (1) JP4688420B2 (en)

Cited By (180)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030172301A1 (en) * 2002-03-08 2003-09-11 Paul Judge Systems and methods for adaptive message interrogation through multiple queues
US20040199595A1 (en) * 2003-01-16 2004-10-07 Scott Banister Electronic message delivery using a virtual gateway approach
US20040258044A1 (en) * 2003-05-22 2004-12-23 International Business Machines Corporation Method and apparatus for managing email messages
US20050080857A1 (en) * 2003-10-09 2005-04-14 Kirsch Steven T. Method and system for categorizing and processing e-mails
US20050144279A1 (en) * 2003-12-31 2005-06-30 Wexelblat David E. Transactional white-listing for electronic communications
US20050204050A1 (en) * 2004-03-10 2005-09-15 Patrick Turley Method and system for controlling network access
US20050216587A1 (en) * 2004-03-25 2005-09-29 International Business Machines Corporation Establishing trust in an email client
US20050265319A1 (en) * 2004-05-29 2005-12-01 Clegg Paul J Method and apparatus for destination domain-based bounce profiles
WO2005119484A2 (en) * 2004-05-29 2005-12-15 Ironport Systems, Inc. Method and apparatus for managing connections and electronic messages
US20050283837A1 (en) * 2004-06-16 2005-12-22 Michael Olivier Method and apparatus for managing computer virus outbreaks
US20060015941A1 (en) * 2004-07-13 2006-01-19 Mckenna John J Methods, computer program products and data structures for intrusion detection, intrusion response and vulnerability remediation across target computer systems
US20060137012A1 (en) * 2004-12-16 2006-06-22 Aaron Jeffrey A Methods and systems for deceptively trapping electronic worms
WO2006103843A1 (en) 2005-03-28 2006-10-05 Konami Digital Entertainment Co., Ltd. Message character string output system, control method thereof, and information storage medium
US20060294090A1 (en) * 2005-06-23 2006-12-28 Microsoft Corporation Probabilistic analysis of personal store (.PST) files to determine owner with confidence factor
WO2007017408A1 (en) * 2005-08-10 2007-02-15 Nokia Siemens Networks Gmbh & Co. Kg Method and system for the automatic update of a white list
US20070214504A1 (en) * 2004-03-30 2007-09-13 Paolo Milani Comparetti Method And System For Network Intrusion Detection, Related Network And Computer Program Product
US20070271220A1 (en) * 2006-05-19 2007-11-22 Chbag, Inc. System, method and apparatus for filtering web content
US20070294762A1 (en) * 2004-05-02 2007-12-20 Markmonitor, Inc. Enhanced responses to online fraud
US20080126951A1 (en) * 2005-06-03 2008-05-29 C-Mail Corp. System and method of dynamically prioritized electronic mail graphical user interface, and measuring email productivity and collaboration trends
US20080263664A1 (en) * 2007-04-17 2008-10-23 Mckenna John J Method of integrating a security operations policy into a threat management vector
US20090083852A1 (en) * 2007-09-26 2009-03-26 Microsoft Corporation Whitelist and Blacklist Identification Data
US20090288169A1 (en) * 2008-05-16 2009-11-19 Yellowpages.Com Llc Systems and Methods to Control Web Scraping
WO2010002892A1 (en) * 2008-06-30 2010-01-07 Aol Llc Systems and methods for reporter-based filtering of electronic communications and messages
US7653695B2 (en) 2004-02-17 2010-01-26 Ironport Systems, Inc. Collecting, aggregating, and managing information relating to electronic messages
US7694128B2 (en) 2002-03-08 2010-04-06 Mcafee, Inc. Systems and methods for secure communication delivery
US7693947B2 (en) 2002-03-08 2010-04-06 Mcafee, Inc. Systems and methods for graphically displaying messaging traffic
US7756930B2 (en) 2004-05-28 2010-07-13 Ironport Systems, Inc. Techniques for determining the reputation of a message sender
US7765294B2 (en) 2006-06-30 2010-07-27 Embarq Holdings Company, Llc System and method for managing subscriber usage of a communications network
US7779466B2 (en) 2002-03-08 2010-08-17 Mcafee, Inc. Systems and methods for anomaly detection in patterns of monitored communications
US7779156B2 (en) 2007-01-24 2010-08-17 Mcafee, Inc. Reputation based load balancing
US20100250762A1 (en) * 2009-03-25 2010-09-30 The Quantum Group, Inc. Method and system for regulating entry of data into a protected system
US7808918B2 (en) 2006-08-22 2010-10-05 Embarq Holdings Company, Llc System and method for dynamically shaping network traffic
US7843831B2 (en) 2006-08-22 2010-11-30 Embarq Holdings Company Llc System and method for routing data on a packet network
US7849142B2 (en) 2004-05-29 2010-12-07 Ironport Systems, Inc. Managing connections, messages, and directory harvest attacks at a server
US7870608B2 (en) 2004-05-02 2011-01-11 Markmonitor, Inc. Early detection and monitoring of online fraud
US7870203B2 (en) 2002-03-08 2011-01-11 Mcafee, Inc. Methods and systems for exposing messaging reputation to an end user
US7870200B2 (en) 2004-05-29 2011-01-11 Ironport Systems, Inc. Monitoring the flow of messages received at a server
US7889660B2 (en) 2006-08-22 2011-02-15 Embarq Holdings Company, Llc System and method for synchronizing counters on an asynchronous packet communications network
US7895448B1 (en) * 2004-02-18 2011-02-22 Symantec Corporation Risk profiling
US7895651B2 (en) 2005-07-29 2011-02-22 Bit 9, Inc. Content tracking in a network security system
US7903549B2 (en) 2002-03-08 2011-03-08 Secure Computing Corporation Content-based policy compliance systems and methods
US7913302B2 (en) * 2004-05-02 2011-03-22 Markmonitor, Inc. Advanced responses to online fraud
US7937480B2 (en) 2005-06-02 2011-05-03 Mcafee, Inc. Aggregation of reputation data
US7941491B2 (en) 2004-06-04 2011-05-10 Messagemind, Inc. System and method for dynamic adaptive user-based prioritization and display of electronic messages
US7940735B2 (en) 2006-08-22 2011-05-10 Embarq Holdings Company, Llc System and method for selecting an access point
US7948909B2 (en) 2006-06-30 2011-05-24 Embarq Holdings Company, Llc System and method for resetting counters counting network performance information at network communications devices on a packet network
US7949716B2 (en) 2007-01-24 2011-05-24 Mcafee, Inc. Correlation and analysis of entity attributes
US20110138002A1 (en) * 2009-12-04 2011-06-09 Electronic And Telecommunications Research Institute Interactivity test apparatus and method for blocking ip application spam
US8000318B2 (en) 2006-06-30 2011-08-16 Embarq Holdings Company, Llc System and method for call routing based on transmission performance of a packet network
US8015294B2 (en) 2006-08-22 2011-09-06 Embarq Holdings Company, LP Pin-hole firewall for communicating data packets on a packet network
US8042149B2 (en) 2002-03-08 2011-10-18 Mcafee, Inc. Systems and methods for message threat management
US8042161B1 (en) * 2006-11-22 2011-10-18 Symantec Corporation Automatic sharing of whitelist data
US8040811B2 (en) 2006-08-22 2011-10-18 Embarq Holdings Company, Llc System and method for collecting and managing network performance information
US8041769B2 (en) 2004-05-02 2011-10-18 Markmonitor Inc. Generating phish messages
US8045458B2 (en) 2007-11-08 2011-10-25 Mcafee, Inc. Prioritizing network traffic
US8064391B2 (en) 2006-08-22 2011-11-22 Embarq Holdings Company, Llc System and method for monitoring and optimizing network performance to a wireless device
US8068425B2 (en) 2008-04-09 2011-11-29 Embarq Holdings Company, Llc System and method for using network performance information to determine improved measures of path states
US8098579B2 (en) 2006-08-22 2012-01-17 Embarq Holdings Company, LP System and method for adjusting the window size of a TCP packet through remote network elements
US8102770B2 (en) 2006-08-22 2012-01-24 Embarq Holdings Company, LP System and method for monitoring and optimizing network performance with vector performance tables and engines
US8107366B2 (en) 2006-08-22 2012-01-31 Embarq Holdings Company, LP System and method for using centralized network performance tables to manage network communications
US8111692B2 (en) 2007-05-31 2012-02-07 Embarq Holdings Company Llc System and method for modifying network traffic
US8125897B2 (en) 2006-08-22 2012-02-28 Embarq Holdings Company Lp System and method for monitoring and optimizing network performance with user datagram protocol network performance information packets
US8132250B2 (en) 2002-03-08 2012-03-06 Mcafee, Inc. Message profiling systems and methods
US8130793B2 (en) 2006-08-22 2012-03-06 Embarq Holdings Company, Llc System and method for enabling reciprocal billing for different types of communications over a packet network
US8144586B2 (en) 2006-08-22 2012-03-27 Embarq Holdings Company, Llc System and method for controlling network bandwidth with a connection admission control engine
US8144587B2 (en) 2006-08-22 2012-03-27 Embarq Holdings Company, Llc System and method for load balancing network resources using a connection admission control engine
US8160975B2 (en) 2008-01-25 2012-04-17 Mcafee, Inc. Granular support vector machine with random granularity
US8166310B2 (en) 2004-05-29 2012-04-24 Ironport Systems, Inc. Method and apparatus for providing temporary access to a network device
US20120101967A1 (en) * 2003-07-22 2012-04-26 Sonicwall, Inc. Statistical message classifier
US8180834B2 (en) 2004-10-07 2012-05-15 Computer Associates Think, Inc. System, method, and computer program product for filtering messages and training a classification module
US8179798B2 (en) 2007-01-24 2012-05-15 Mcafee, Inc. Reputation based connection throttling
US8185930B2 (en) 2007-11-06 2012-05-22 Mcafee, Inc. Adjusting filter or classification control settings
US8189468B2 (en) * 2006-10-25 2012-05-29 Embarq Holdings, Company, LLC System and method for regulating messages between networks
US8194643B2 (en) 2006-10-19 2012-06-05 Embarq Holdings Company, Llc System and method for monitoring the connection of an end-user to a remote network
US8194555B2 (en) 2006-08-22 2012-06-05 Embarq Holdings Company, Llc System and method for using distributed network performance information tables to manage network communications
US8199653B2 (en) 2006-08-22 2012-06-12 Embarq Holdings Company, Llc System and method for communicating network performance information over a packet network
US8204945B2 (en) 2000-06-19 2012-06-19 Stragent, Llc Hash-based systems and methods for detecting and preventing transmission of unwanted e-mail
US8214497B2 (en) 2007-01-24 2012-07-03 Mcafee, Inc. Multi-dimensional reputation scoring
US8223655B2 (en) 2006-08-22 2012-07-17 Embarq Holdings Company, Llc System and method for provisioning resources of a packet network based on collected network performance information
US8224255B2 (en) 2006-08-22 2012-07-17 Embarq Holdings Company, Llc System and method for managing radio frequency windows
US8228791B2 (en) 2006-08-22 2012-07-24 Embarq Holdings Company, Llc System and method for routing communications between packet networks based on intercarrier agreements
US8238253B2 (en) 2006-08-22 2012-08-07 Embarq Holdings Company, Llc System and method for monitoring interlayer devices and optimizing network performance
US8272058B2 (en) 2005-07-29 2012-09-18 Bit 9, Inc. Centralized timed analysis in a network security system
US8274905B2 (en) 2006-08-22 2012-09-25 Embarq Holdings Company, Llc System and method for displaying a graph representative of network performance over a time period
US8289965B2 (en) 2006-10-19 2012-10-16 Embarq Holdings Company, Llc System and method for establishing a communications session with an end-user based on the state of a network connection
US8307065B2 (en) 2006-08-22 2012-11-06 Centurylink Intellectual Property Llc System and method for remotely controlling network operators
US8358580B2 (en) 2006-08-22 2013-01-22 Centurylink Intellectual Property Llc System and method for adjusting the window size of a TCP packet through network elements
US8407765B2 (en) 2006-08-22 2013-03-26 Centurylink Intellectual Property Llc System and method for restricting access to network performance information tables
US8452874B2 (en) 2010-11-22 2013-05-28 Amazon Technologies, Inc. Request routing processing
US8468247B1 (en) 2010-09-28 2013-06-18 Amazon Technologies, Inc. Point of presence management in request routing
US8488447B2 (en) 2006-06-30 2013-07-16 Centurylink Intellectual Property Llc System and method for adjusting code speed in a transmission path during call set-up due to reduced transmission performance
US8495220B2 (en) 2008-11-17 2013-07-23 Amazon Technologies, Inc. Managing CDN registration by a storage provider
US8510448B2 (en) 2008-11-17 2013-08-13 Amazon Technologies, Inc. Service provider registration by a content broker
US8521851B1 (en) 2009-03-27 2013-08-27 Amazon Technologies, Inc. DNS query processing using resource identifiers specifying an application broker
US8521885B1 (en) 2009-03-27 2013-08-27 Amazon Technologies, Inc. Dynamically translating resource identifiers for request routing using popularity information
US8521880B1 (en) 2008-11-17 2013-08-27 Amazon Technologies, Inc. Managing content delivery network service providers
US8533293B1 (en) 2008-03-31 2013-09-10 Amazon Technologies, Inc. Client side cache management
US8531954B2 (en) 2006-08-22 2013-09-10 Centurylink Intellectual Property Llc System and method for handling reservation requests with a connection admission control engine
US8537695B2 (en) 2006-08-22 2013-09-17 Centurylink Intellectual Property Llc System and method for establishing a call being received by a trunk on a packet network
US8543702B1 (en) 2009-06-16 2013-09-24 Amazon Technologies, Inc. Managing resources using resource expiration data
US8549531B2 (en) 2008-09-29 2013-10-01 Amazon Technologies, Inc. Optimizing resource configurations
US8549611B2 (en) 2002-03-08 2013-10-01 Mcafee, Inc. Systems and methods for classification of messaging entities
US8549405B2 (en) 2006-08-22 2013-10-01 Centurylink Intellectual Property Llc System and method for displaying a graphical representation of a network to identify nodes and node segments on the network that are not operating normally
US8561167B2 (en) 2002-03-08 2013-10-15 Mcafee, Inc. Web reputation scoring
US8577992B1 (en) 2010-09-28 2013-11-05 Amazon Technologies, Inc. Request routing management based on network components
US8578480B2 (en) 2002-03-08 2013-11-05 Mcafee, Inc. Systems and methods for identifying potentially malicious messages
US8576722B2 (en) 2006-08-22 2013-11-05 Centurylink Intellectual Property Llc System and method for modifying connectivity fault management packets
US8583776B2 (en) 2008-11-17 2013-11-12 Amazon Technologies, Inc. Managing content delivery network service providers
US8589503B2 (en) 2008-04-04 2013-11-19 Mcafee, Inc. Prioritizing network traffic
US8601090B1 (en) 2008-03-31 2013-12-03 Amazon Technologies, Inc. Network resource identification
US8606996B2 (en) 2008-03-31 2013-12-10 Amazon Technologies, Inc. Cache optimization
WO2013187989A1 (en) * 2012-06-12 2013-12-19 International Business Machines Corporation Method and apparatus for detecting unauthorized bulk forwarding of sensitive data over a network
US8621638B2 (en) 2010-05-14 2013-12-31 Mcafee, Inc. Systems and methods for classification of messaging entities
US8619600B2 (en) 2006-08-22 2013-12-31 Centurylink Intellectual Property Llc System and method for establishing calls over a call path having best path metrics
US8626950B1 (en) 2010-12-03 2014-01-07 Amazon Technologies, Inc. Request routing processing
US8635690B2 (en) 2004-11-05 2014-01-21 Mcafee, Inc. Reputation based message processing
US8639817B2 (en) 2008-03-31 2014-01-28 Amazon Technologies, Inc. Content management
US8667127B2 (en) 2009-03-24 2014-03-04 Amazon Technologies, Inc. Monitoring web site content
US20140068021A1 (en) * 2012-08-28 2014-03-06 Alexey Arseniev Configuring client services
US8713156B2 (en) 2008-03-31 2014-04-29 Amazon Technologies, Inc. Request routing based on class
US8717911B2 (en) 2006-06-30 2014-05-06 Centurylink Intellectual Property Llc System and method for collecting network performance information
US8732309B1 (en) 2008-11-17 2014-05-20 Amazon Technologies, Inc. Request routing utilizing cost information
US8743703B2 (en) 2006-08-22 2014-06-03 Centurylink Intellectual Property Llc System and method for tracking application resource usage
US8750158B2 (en) 2006-08-22 2014-06-10 Centurylink Intellectual Property Llc System and method for differentiated billing
US8756341B1 (en) 2009-03-27 2014-06-17 Amazon Technologies, Inc. Request routing utilizing popularity information
US8762526B2 (en) 2008-09-29 2014-06-24 Amazon Technologies, Inc. Optimizing content management
US8763114B2 (en) 2007-01-24 2014-06-24 Mcafee, Inc. Detecting image spam
US8769671B2 (en) 2004-05-02 2014-07-01 Markmonitor Inc. Online fraud solution
US8788671B2 (en) 2008-11-17 2014-07-22 Amazon Technologies, Inc. Managing content delivery network service providers by a content broker
US8819283B2 (en) 2010-09-28 2014-08-26 Amazon Technologies, Inc. Request routing in a networked environment
US8843625B2 (en) 2008-09-29 2014-09-23 Amazon Technologies, Inc. Managing network data display
US8902897B2 (en) 2009-12-17 2014-12-02 Amazon Technologies, Inc. Distributed routing architecture
US8924528B1 (en) 2010-09-28 2014-12-30 Amazon Technologies, Inc. Latency measurement in resource requests
US8930513B1 (en) 2010-09-28 2015-01-06 Amazon Technologies, Inc. Latency measurement in resource requests
US8938526B1 (en) 2010-09-28 2015-01-20 Amazon Technologies, Inc. Request routing management based on network components
US8971328B2 (en) 2009-12-17 2015-03-03 Amazon Technologies, Inc. Distributed routing architecture
US8984636B2 (en) 2005-07-29 2015-03-17 Bit9, Inc. Content extractor and analysis system
US9003035B1 (en) 2010-09-28 2015-04-07 Amazon Technologies, Inc. Point of presence management in request routing
US9009286B2 (en) 2008-03-31 2015-04-14 Amazon Technologies, Inc. Locality based content distribution
US9021128B2 (en) 2008-06-30 2015-04-28 Amazon Technologies, Inc. Request routing using network computing components
US9021127B2 (en) 2007-06-29 2015-04-28 Amazon Technologies, Inc. Updating routing information based on client location
US9021129B2 (en) 2007-06-29 2015-04-28 Amazon Technologies, Inc. Request routing utilizing client location information
US9026507B2 (en) 2004-05-02 2015-05-05 Thomson Reuters Global Resources Methods and systems for analyzing data related to possible online fraud
US9026616B2 (en) 2008-03-31 2015-05-05 Amazon Technologies, Inc. Content delivery reconciliation
US9037660B2 (en) 2003-05-09 2015-05-19 Google Inc. Managing electronic messages
US9083743B1 (en) 2012-03-21 2015-07-14 Amazon Technologies, Inc. Managing request routing information utilizing performance information
US9088460B2 (en) 2008-09-29 2015-07-21 Amazon Technologies, Inc. Managing resource consolidation configurations
US9094257B2 (en) 2006-06-30 2015-07-28 Centurylink Intellectual Property Llc System and method for selecting a content delivery network
US9130756B2 (en) 2009-09-04 2015-09-08 Amazon Technologies, Inc. Managing secure content in a content delivery network
US9135048B2 (en) 2012-09-20 2015-09-15 Amazon Technologies, Inc. Automated profiling of resource usage
US9141786B2 (en) 1996-11-08 2015-09-22 Finjan, Inc. Malicious mobile code runtime monitoring system and methods
US9154551B1 (en) 2012-06-11 2015-10-06 Amazon Technologies, Inc. Processing DNS queries to identify pre-processing information
US9160641B2 (en) 2008-09-29 2015-10-13 Amazon Technologies, Inc. Monitoring domain allocation performance
US9203648B2 (en) 2004-05-02 2015-12-01 Thomson Reuters Global Resources Online fraud solution
US9219755B2 (en) 1996-11-08 2015-12-22 Finjan, Inc. Malicious mobile code runtime monitoring system and methods
US9237114B2 (en) 2009-03-27 2016-01-12 Amazon Technologies, Inc. Managing resources in resource cache components
US9246776B2 (en) 2009-10-02 2016-01-26 Amazon Technologies, Inc. Forward-based resource delivery network management techniques
US9258269B1 (en) * 2009-03-25 2016-02-09 Symantec Corporation Methods and systems for managing delivery of email to local recipients using local reputations
US9294391B1 (en) 2013-06-04 2016-03-22 Amazon Technologies, Inc. Managing network computing components utilizing request routing
US9323577B2 (en) 2012-09-20 2016-04-26 Amazon Technologies, Inc. Automated profiling of resource usage
US9391949B1 (en) 2010-12-03 2016-07-12 Amazon Technologies, Inc. Request routing processing
US9407681B1 (en) 2010-09-28 2016-08-02 Amazon Technologies, Inc. Latency measurement in resource requests
US20160308830A1 (en) * 2010-06-25 2016-10-20 Salesforce.Com, Inc. Methods And Systems For Providing Context-Based Outbound Processing Application Firewalls
US9479341B2 (en) 2006-08-22 2016-10-25 Centurylink Intellectual Property Llc System and method for initiating diagnostics on a packet network node
US9479476B2 (en) 2008-03-31 2016-10-25 Amazon Technologies, Inc. Processing of DNS queries
US9495338B1 (en) 2010-01-28 2016-11-15 Amazon Technologies, Inc. Content distribution network
US9525659B1 (en) 2012-09-04 2016-12-20 Amazon Technologies, Inc. Request routing utilizing point of presence load information
US9576271B2 (en) 2003-06-24 2017-02-21 Google Inc. System and method for community centric resource sharing based on a publishing subscription model
US9628554B2 (en) 2012-02-10 2017-04-18 Amazon Technologies, Inc. Dynamic content delivery
US9712484B1 (en) 2010-09-28 2017-07-18 Amazon Technologies, Inc. Managing request routing information utilizing client identifiers
US9742795B1 (en) 2015-09-24 2017-08-22 Amazon Technologies, Inc. Mitigating network attacks
US9774619B1 (en) 2015-09-24 2017-09-26 Amazon Technologies, Inc. Mitigating network attacks
US9787775B1 (en) 2010-09-28 2017-10-10 Amazon Technologies, Inc. Point of presence management in request routing
US9794281B1 (en) 2015-09-24 2017-10-17 Amazon Technologies, Inc. Identifying sources of network attacks
US9819567B1 (en) 2015-03-30 2017-11-14 Amazon Technologies, Inc. Traffic surge management for points of presence
US9832141B1 (en) 2015-05-13 2017-11-28 Amazon Technologies, Inc. Routing based request correlation
US9887932B1 (en) 2015-03-30 2018-02-06 Amazon Technologies, Inc. Traffic surge management for points of presence
US9887931B1 (en) 2015-03-30 2018-02-06 Amazon Technologies, Inc. Traffic surge management for points of presence
US9912740B2 (en) 2008-06-30 2018-03-06 Amazon Technologies, Inc. Latency measurement in resource requests
US9985927B2 (en) 2014-07-21 2018-05-29 Amazon Technologies, Inc. Managing content delivery network service providers by a content broker

Families Citing this family (336)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070112512A1 (en) * 1987-09-28 2007-05-17 Verizon Corporate Services Group Inc. Methods and systems for locating source of computer-originated attack based on GPS equipped computing device
US8418246B2 (en) * 2004-08-12 2013-04-09 Verizon Patent And Licensing Inc. Geographical threat response prioritization mapping system and methods of use
US6925572B1 (en) 2000-02-28 2005-08-02 Microsoft Corporation Firewall with two-phase filtering
US6938024B1 (en) * 2000-05-04 2005-08-30 Microsoft Corporation Transmitting information given constrained resources
US7627897B2 (en) * 2001-01-03 2009-12-01 Portauthority Technologies Inc. Method and apparatus for a reactive defense against illegal distribution of multimedia content in file sharing networks
US7167846B2 (en) * 2001-01-04 2007-01-23 New York University System, process and software arrangement for assisting with a knowledge discovery process
US8219620B2 (en) * 2001-02-20 2012-07-10 Mcafee, Inc. Unwanted e-mail filtering system including voting feedback
US7257630B2 (en) 2002-01-15 2007-08-14 Mcafee, Inc. System and method for network vulnerability detection and reporting
US7543056B2 (en) 2002-01-15 2009-06-02 Mcafee, Inc. System and method for network vulnerability detection and reporting
US7290282B1 (en) * 2002-04-08 2007-10-30 Symantec Corporation Reducing false positive computer virus detections
JP2003333096A (en) * 2002-05-08 2003-11-21 Nec Corp Incoming e-mail rejecting system, incoming e-mail rejecting method and incoming e-mail rejecting program
GB0213053D0 (en) * 2002-06-07 2002-07-17 Hewlett Packard Co Method for restricting the propagation of a virus within a network
US7418729B2 (en) * 2002-07-19 2008-08-26 Symantec Corporation Heuristic detection of malicious computer code by page tracking
US8788650B1 (en) * 2002-07-19 2014-07-22 Fortinet, Inc. Hardware based detection devices for detecting network traffic content and methods of using the same
WO2004059506A1 (en) * 2002-12-26 2004-07-15 Commtouch Software Ltd. Detection and prevention of spam
US20040162795A1 (en) * 2002-12-30 2004-08-19 Jesse Dougherty Method and system for feature extraction from outgoing messages for use in categorization of incoming messages
US7627891B2 (en) 2003-02-14 2009-12-01 Preventsys, Inc. Network audit and policy assurance system
US8561175B2 (en) * 2003-02-14 2013-10-15 Preventsys, Inc. System and method for automated policy audit and remediation management
US7398315B2 (en) * 2003-03-12 2008-07-08 Workman Nydegger Reducing unwanted and unsolicited electronic messages by preventing connection hijacking and domain spoofing
US7552176B2 (en) * 2003-03-12 2009-06-23 Microsoft Corporation Reducing unwanted and unsolicited electronic messages by exchanging electronic message transmission policies and solving and verifying solutions to computational puzzles
JP2004295684A (en) * 2003-03-27 2004-10-21 Fujitsu Ltd Authentication device
GB2401281B (en) * 2003-04-29 2006-02-08 Hewlett Packard Development Co Propagation of viruses through an information technology network
GB2401280B (en) * 2003-04-29 2006-02-08 Hewlett Packard Development Co Propagation of viruses through an information technology network
US7796515B2 (en) * 2003-04-29 2010-09-14 Hewlett-Packard Development Company, L.P. Propagation of viruses through an information technology network
US7783019B2 (en) * 2003-05-15 2010-08-24 Verizon Business Global Llc Method and apparatus for providing fraud detection using geographically differentiated connection duration thresholds
US7817791B2 (en) * 2003-05-15 2010-10-19 Verizon Business Global Llc Method and apparatus for providing fraud detection using hot or cold originating attributes
US7774842B2 (en) * 2003-05-15 2010-08-10 Verizon Business Global Llc Method and system for prioritizing cases for fraud detection
US7971237B2 (en) * 2003-05-15 2011-06-28 Verizon Business Global Llc Method and system for providing fraud detection for remote access services
JP2006526193A (en) * 2003-05-17 2006-11-16 マイクロソフト コーポレーション Mechanism for evaluating the security risk
US20070005970A1 (en) * 2003-05-21 2007-01-04 Trupp Steven E E-mail authentication protocol or MAP
US7653698B2 (en) * 2003-05-29 2010-01-26 Sonicwall, Inc. Identifying e-mail messages from allowed senders
US7334001B2 (en) * 2003-06-13 2008-02-19 Yahoo! Inc. Method and system for data collection for alert delivery
US7051077B2 (en) * 2003-06-30 2006-05-23 Mx Logic, Inc. Fuzzy logic voting method and system for classifying e-mail using inputs from multiple spam classifiers
US7680890B1 (en) 2004-06-22 2010-03-16 Wei Lin Fuzzy logic voting method and system for classifying e-mail using inputs from multiple spam classifiers
US8984644B2 (en) 2003-07-01 2015-03-17 Securityprofiling, Llc Anti-vulnerability system, method, and computer program product
US9118708B2 (en) 2003-07-01 2015-08-25 Securityprofiling, Llc Multi-path remediation
US20070113272A2 (en) 2003-07-01 2007-05-17 Securityprofiling, Inc. Real-time vulnerability monitoring
US9118711B2 (en) 2003-07-01 2015-08-25 Securityprofiling, Llc Anti-vulnerability system, method, and computer program product
US9100431B2 (en) 2003-07-01 2015-08-04 Securityprofiling, Llc Computer program product and apparatus for multi-path remediation
US9350752B2 (en) 2003-07-01 2016-05-24 Securityprofiling, Llc Anti-vulnerability system, method, and computer program product
US9118709B2 (en) 2003-07-01 2015-08-25 Securityprofiling, Llc Anti-vulnerability system, method, and computer program product
US9118710B2 (en) 2003-07-01 2015-08-25 Securityprofiling, Llc System, method, and computer program product for reporting an occurrence in different manners
US20050015626A1 (en) * 2003-07-15 2005-01-20 Chasin C. Scott System and method for identifying and filtering junk e-mail messages or spam based on URL content
US20050022021A1 (en) * 2003-07-22 2005-01-27 Bardsley Jeffrey S. Systems, methods and data structures for generating computer-actionable computer security threat management information
US7386883B2 (en) * 2003-07-22 2008-06-10 International Business Machines Corporation Systems, methods and computer program products for administration of computer security threat countermeasures to a computer system
EP1503285A1 (en) * 2003-07-30 2005-02-02 Hewlett-Packard Development Company, L.P. Communication system and method
US7565690B2 (en) * 2003-08-04 2009-07-21 At&T Intellectual Property I, L.P. Intrusion detection
US8645697B1 (en) * 2003-08-08 2014-02-04 Radix Holdings, Llc Message authorization
US7725589B2 (en) * 2004-08-16 2010-05-25 Fiberlink Communications Corporation System, method, apparatus, and computer program product for facilitating digital communications
GB2405229B (en) * 2003-08-19 2006-01-11 Sophos Plc Method and apparatus for filtering electronic mail
KR100500589B1 (en) * 2003-09-03 2005-07-12 엘지엔시스(주) An apparatus and method for worm protection using pattern matching method based on a hardware system
US7437718B2 (en) * 2003-09-05 2008-10-14 Microsoft Corporation Reviewing the security of trusted software components
US7366761B2 (en) * 2003-10-09 2008-04-29 Abaca Technology Corporation Method for creating a whitelist for processing e-mails
US20050081057A1 (en) * 2003-10-10 2005-04-14 Oded Cohen Method and system for preventing exploiting an email message
US9026597B1 (en) * 2003-11-07 2015-05-05 Radix Holdings, Llc Messaging enhancements
US20050138426A1 (en) * 2003-11-07 2005-06-23 Brian Styslinger Method, system, and apparatus for managing, monitoring, auditing, cataloging, scoring, and improving vulnerability assessment tests, as well as automating retesting efforts and elements of tests
US7620690B1 (en) * 2003-11-20 2009-11-17 Lashback, LLC Privacy control system for electronic communication
US20050144297A1 (en) * 2003-12-30 2005-06-30 Kidsnet, Inc. Method and apparatus for providing content access controls to access the internet
US20050154601A1 (en) * 2004-01-09 2005-07-14 Halpern Joshua I. Information security threat identification, analysis, and management
US8627458B2 (en) * 2004-01-13 2014-01-07 Mcafee, Inc. Detecting malicious computer program activity using external program calls with dynamic rule sets
US20050289239A1 (en) * 2004-03-16 2005-12-29 Prakash Vipul V Method and an apparatus to classify electronic communication
WO2005096572A1 (en) * 2004-03-26 2005-10-13 Hisham Arnold El-Emam Method for monitoring the transmission of electronic messages
US8201257B1 (en) 2004-03-31 2012-06-12 Mcafee, Inc. System and method of managing network security risks
US8171553B2 (en) 2004-04-01 2012-05-01 Fireeye, Inc. Heuristic based capture with replay to virtual machine
US8566946B1 (en) * 2006-04-20 2013-10-22 Fireeye, Inc. Malware containment on connection
US8528086B1 (en) 2004-04-01 2013-09-03 Fireeye, Inc. System and method of detecting computer worms
US8584239B2 (en) 2004-04-01 2013-11-12 Fireeye, Inc. Virtual machine with dynamic data flow analysis
US20050223076A1 (en) * 2004-04-02 2005-10-06 International Business Machines Corporation Cooperative spam control
US8528077B1 (en) * 2004-04-09 2013-09-03 Hewlett-Packard Development Company, L.P. Comparing events from multiple network security devices
US20070107053A1 (en) * 2004-05-02 2007-05-10 Markmonitor, Inc. Enhanced responses to online fraud
US8407792B2 (en) * 2004-05-19 2013-03-26 Ca, Inc. Systems and methods for computer security
US20060010213A1 (en) * 2004-05-19 2006-01-12 Jignesh Mehta Method for personal email archiving and organization for electronic data, including email, which can be utilized by both the user and the provider in a variety of ways
US8042180B2 (en) * 2004-05-21 2011-10-18 Computer Associates Think, Inc. Intrusion detection based on amount of network traffic
US7428579B2 (en) * 2004-05-27 2008-09-23 Yahoo! Inc. Method and system for segmentation of a message inbox
US20050289148A1 (en) * 2004-06-10 2005-12-29 Steven Dorner Method and apparatus for detecting suspicious, deceptive, and dangerous links in electronic messages
US20050278178A1 (en) * 2004-06-10 2005-12-15 International Business Machines Corporation System and method for intrusion decision-making in autonomic computing environments
US8549638B2 (en) 2004-06-14 2013-10-01 Fireeye, Inc. System and method of containing computer worms
US20050283519A1 (en) * 2004-06-17 2005-12-22 Commtouch Software, Ltd. Methods and systems for combating spam
CN100370757C (en) * 2004-07-09 2008-02-20 国际商业机器公司 Method and system for dentifying a distributed denial of service (DDOS) attack within a network and defending against such an attack
WO2006017291A8 (en) * 2004-07-12 2008-08-07 Michael T Frantzen Intrusion management system and method for providing dynamically scaled confidence level of attack detection
US9154511B1 (en) * 2004-07-13 2015-10-06 Dell Software Inc. Time zero detection of infectious messages
US7343624B1 (en) 2004-07-13 2008-03-11 Sonicwall, Inc. Managing infectious messages as identified by an attachment
US7490356B2 (en) * 2004-07-20 2009-02-10 Reflectent Software, Inc. End user risk management
US8572734B2 (en) * 2004-08-12 2013-10-29 Verizon Patent And Licensing Inc. Geographical intrusion response prioritization mapping through authentication and flight data correlation
US8631493B2 (en) * 2004-08-12 2014-01-14 Verizon Patent And Licensing Inc. Geographical intrusion mapping system using telecommunication billing and inventory systems
US8082506B1 (en) * 2004-08-12 2011-12-20 Verizon Corporate Services Group Inc. Geographical vulnerability mitigation response mapping system
US8443049B1 (en) * 2004-08-20 2013-05-14 Sprint Spectrum L.P. Call processing using trust scores based on messaging patterns of message source
US8914309B2 (en) * 2004-08-20 2014-12-16 Ebay Inc. Method and system for tracking fraudulent activity
US20060045124A1 (en) * 2004-08-31 2006-03-02 Kidsnet, Inc. Method and apparatus for providing access controls to communication services
US20060069782A1 (en) * 2004-09-16 2006-03-30 Michael Manning Method and apparatus for location-based white lists in a telecommunications network
GB2418330B (en) * 2004-09-17 2006-11-08 Jeroen Oostendorp Platform for intelligent Email distribution
US20060064740A1 (en) * 2004-09-22 2006-03-23 International Business Machines Corporation Network threat risk assessment tool
US7797749B2 (en) * 2004-11-03 2010-09-14 Intel Corporation Defending against worm or virus attacks on networks
US7577984B2 (en) * 2004-12-09 2009-08-18 Microsoft Corporation Method and system for a sending domain to establish a trust that its senders communications are not unwanted
US7519818B2 (en) * 2004-12-09 2009-04-14 Microsoft Corporation Method and system for processing a communication based on trust that the communication is not unwanted as assigned by a sending domain
US7653812B2 (en) * 2004-12-09 2010-01-26 Microsoft Corporation Method and system for evaluating confidence in a sending domain to accurately assign a trust that a communication is not unwanted
US9160755B2 (en) * 2004-12-21 2015-10-13 Mcafee, Inc. Trusted communication network
US8484295B2 (en) * 2004-12-21 2013-07-09 Mcafee, Inc. Subscriber reputation filtering method for analyzing subscriber activity and detecting account misuse
US8738708B2 (en) * 2004-12-21 2014-05-27 Mcafee, Inc. Bounce management in a trusted communication network
US9325728B1 (en) 2005-01-27 2016-04-26 Leidos, Inc. Systems and methods for implementing and scoring computer network defense exercises
US8250654B1 (en) 2005-01-27 2012-08-21 Science Applications International Corporation Systems and methods for implementing and scoring computer network defense exercises
US8266320B1 (en) * 2005-01-27 2012-09-11 Science Applications International Corporation Computer network defense
US20060259950A1 (en) 2005-02-18 2006-11-16 Ulf Mattsson Multi-layer system for privacy enforcement and monitoring of suspicious data access behavior
US7953814B1 (en) 2005-02-28 2011-05-31 Mcafee, Inc. Stopping and remediating outbound messaging abuse
US9015472B1 (en) 2005-03-10 2015-04-21 Mcafee, Inc. Marking electronic messages to indicate human origination
US7831834B2 (en) * 2005-03-14 2010-11-09 Yahoo! Inc Associating a postmark with a message to indicate trust
US20060224673A1 (en) * 2005-03-30 2006-10-05 Microsoft Corporation Throttling inbound electronic messages in a message processing system
US7841003B1 (en) * 2005-05-04 2010-11-23 Capital One Financial Corporation Phishing solution method
JP4557815B2 (en) * 2005-06-13 2010-10-06 富士通株式会社 The relay device and a relay system
WO2007005868A3 (en) * 2005-07-01 2009-04-16 Markmonitor Inc Enhanced fraud monitoring systems
US20070169171A1 (en) * 2005-07-11 2007-07-19 Kumar Ravi C Technique for authenticating network users
US20070056038A1 (en) * 2005-09-06 2007-03-08 Lok Technology, Inc. Fusion instrusion protection system
GB2431316B (en) * 2005-10-12 2008-05-21 Hewlett Packard Development Co Propagation of malicious code through an information technology network
US9055093B2 (en) * 2005-10-21 2015-06-09 Kevin R. Borders Method, system and computer program product for detecting at least one of security threats and undesirable computer files
US20070112814A1 (en) * 2005-11-12 2007-05-17 Cheshire Stuart D Methods and systems for providing improved security when using a uniform resource locator (URL) or other address or identifier
WO2007064879A3 (en) 2005-12-01 2009-04-30 Firestar Software Inc System and method for exchanging information among exchange applications
US8121839B2 (en) 2005-12-19 2012-02-21 Rockstar Bidco, LP Method and apparatus for detecting unsolicited multimedia communications
US20070150773A1 (en) * 2005-12-19 2007-06-28 Nortel Networks Limited Extensions to SIP signaling to indicate SPAM
US7793138B2 (en) * 2005-12-21 2010-09-07 Cisco Technology, Inc. Anomaly detection for storage traffic in a data center
US20070143851A1 (en) 2005-12-21 2007-06-21 Fiberlink Method and systems for controlling access to computing resources based on known security vulnerabilities
US20070143827A1 (en) * 2005-12-21 2007-06-21 Fiberlink Methods and systems for intelligently controlling access to computing resources
US20070157311A1 (en) * 2005-12-29 2007-07-05 Microsoft Corporation Security modeling and the application life cycle
US7890315B2 (en) * 2005-12-29 2011-02-15 Microsoft Corporation Performance engineering and the application life cycle
US7774297B2 (en) * 2005-12-30 2010-08-10 Honeywell International Inc. System and method for network security
US20070153696A1 (en) * 2006-01-03 2007-07-05 Alcatel Collaborative communication traffic control systems and methods
US7644056B2 (en) * 2006-01-05 2010-01-05 Sundri Kaur Khalsa System and method for providing terrorism intelligence indications and warnings
US8443442B2 (en) * 2006-01-31 2013-05-14 The Penn State Research Foundation Signature-free buffer overflow attack blocker
US20070186282A1 (en) * 2006-02-06 2007-08-09 Microsoft Corporation Techniques for identifying and managing potentially harmful web traffic
US8601160B1 (en) * 2006-02-09 2013-12-03 Mcafee, Inc. System, method and computer program product for gathering information relating to electronic content utilizing a DNS server
US7818788B2 (en) * 2006-02-14 2010-10-19 Microsoft Corporation Web application security frame
US9167000B2 (en) * 2006-02-14 2015-10-20 Ca, Inc. Dynamic threat event management system and method
US7712137B2 (en) * 2006-02-27 2010-05-04 Microsoft Corporation Configuring and organizing server security information
US7627641B2 (en) * 2006-03-09 2009-12-01 Watchguard Technologies, Inc. Method and system for recognizing desired email
US20070234424A1 (en) * 2006-03-31 2007-10-04 Lucent Technologies, Inc. Design and evaluation of a fast and robust worm detection algorithm
WO2007117585A3 (en) 2006-04-06 2008-05-15 Smobile Systems Inc System and method for managing malware protection on mobile devices
US8458261B1 (en) * 2006-04-07 2013-06-04 Trend Micro Incorporated Determination of valid email addresses in a private computer network
US20070282770A1 (en) * 2006-05-15 2007-12-06 Nortel Networks Limited System and methods for filtering electronic communications
WO2007141835A1 (en) * 2006-06-02 2007-12-13 Duaxes Corporation Communication management system, communication management method and communication control device
US8301703B2 (en) * 2006-06-28 2012-10-30 International Business Machines Corporation Systems and methods for alerting administrators about suspect communications
US7707222B2 (en) * 2006-07-06 2010-04-27 The United States Of America As Represented By The Secretary Of The Air Force Method and apparatus for providing access to information systems via e-mail
JP4679461B2 (en) * 2006-07-28 2011-04-27 Necビッグローブ株式会社 Site service apparatus, site service system, site management method, and a program
US20080155264A1 (en) * 2006-12-20 2008-06-26 Ross Brown Anti-virus signature footprint
US9008617B2 (en) * 2006-12-28 2015-04-14 Verizon Patent And Licensing Inc. Layered graphical event mapping
US8561166B2 (en) * 2007-01-07 2013-10-15 Alcatel Lucent Efficient implementation of security applications in a networked environment
US8881276B2 (en) * 2007-01-09 2014-11-04 Cisco Technology, Inc. Dynamically generated whitelist for high throughput intrusion prevention system (IPS) functionality
US8312135B2 (en) 2007-02-02 2012-11-13 Microsoft Corporation Computing system infrastructure to administer distress messages
CA2676106A1 (en) 2007-02-02 2008-08-14 Websense, Inc. System and method for adding context to prevent data leakage over a computer network
WO2008098169A3 (en) * 2007-02-08 2008-10-02 Aspenbio Pharma Inc Compositions and methods including expression and bioactivity of bovine follicle stimulating hormone
US8910275B2 (en) * 2007-02-14 2014-12-09 Hewlett-Packard Development Company, L.P. Network monitoring
US20080201722A1 (en) * 2007-02-20 2008-08-21 Gurusamy Sarathy Method and System For Unsafe Content Tracking
US8955122B2 (en) * 2007-04-04 2015-02-10 Sri International Method and apparatus for detecting malware infection
US20080263106A1 (en) * 2007-04-12 2008-10-23 Steven Asherman Database queuing and distributed computing
US7853992B2 (en) * 2007-05-31 2010-12-14 Microsoft Corporation Configuring security mechanisms utilizing a trust system
US8984133B2 (en) 2007-06-19 2015-03-17 The Invention Science Fund I, Llc Providing treatment-indicative feedback dependent on putative content treatment
US20080320088A1 (en) * 2007-06-19 2008-12-25 Searete Llc, A Limited Liability Corporation Of The State Of Delaware Helping valuable message content pass apparent message filtering
US8682982B2 (en) * 2007-06-19 2014-03-25 The Invention Science Fund I, Llc Preliminary destination-dependent evaluation of message content
US8340091B2 (en) * 2007-07-11 2012-12-25 Hewlett-Packard Development Company, L.P. Packet processing with adjusted access control list
US8086441B1 (en) * 2007-07-27 2011-12-27 Sonicwall, Inc. Efficient string search
JP5046158B2 (en) * 2007-08-10 2012-10-10 インターナショナル・ビジネス・マシーンズ・コーポレーションInternational Business Maschines Corporation Apparatus and method for detecting a property of the e-mail message
US8082225B2 (en) * 2007-08-31 2011-12-20 The Invention Science Fund I, Llc Using destination-dependent criteria to guide data transmission decisions
US8065404B2 (en) * 2007-08-31 2011-11-22 The Invention Science Fund I, Llc Layering destination-dependent content handling guidance
US8689330B2 (en) * 2007-09-05 2014-04-01 Yahoo! Inc. Instant messaging malware protection
US9009828B1 (en) 2007-09-28 2015-04-14 Dell SecureWorks, Inc. System and method for identification and blocking of unwanted network traffic
US20090113039A1 (en) * 2007-10-25 2009-04-30 At&T Knowledge Ventures, L.P. Method and system for content handling
US9374242B2 (en) * 2007-11-08 2016-06-21 Invention Science Fund I, Llc Using evaluations of tentative message content
US20090125980A1 (en) * 2007-11-09 2009-05-14 Secure Computing Corporation Network rating
US7930389B2 (en) * 2007-11-20 2011-04-19 The Invention Science Fund I, Llc Adaptive filtering of annotated messages or the like
US7587537B1 (en) 2007-11-30 2009-09-08 Altera Corporation Serializer-deserializer circuits formed from input-output circuit registers
US8365276B1 (en) * 2007-12-10 2013-01-29 Mcafee, Inc. System, method and computer program product for sending unwanted activity information to a central system
US20090187467A1 (en) * 2008-01-23 2009-07-23 Palo Alto Research Center Incorporated Linguistic extraction of temporal and location information for a recommender system
US9336385B1 (en) * 2008-02-11 2016-05-10 Adaptive Cyber Security Instruments, Inc. System for real-time threat detection and management
US8370930B2 (en) * 2008-02-28 2013-02-05 Microsoft Corporation Detecting spam from metafeatures of an email message
US7792922B2 (en) * 2008-03-05 2010-09-07 Caterpillar Inc. Systems and methods for managing health of a client system
US8170965B2 (en) * 2008-03-12 2012-05-01 Fabian Matthew Mihelic Method for governing the operation of a generalist agent within a complex multi-agent adaptive system
US9130986B2 (en) 2008-03-19 2015-09-08 Websense, Inc. Method and system for protection against information stealing software
US8370948B2 (en) * 2008-03-19 2013-02-05 Websense, Inc. System and method for analysis of electronic information dissemination events
US8407784B2 (en) * 2008-03-19 2013-03-26 Websense, Inc. Method and system for protection against information stealing software
US9015842B2 (en) 2008-03-19 2015-04-21 Websense, Inc. Method and system for protection against information stealing software
US8839419B2 (en) * 2008-04-05 2014-09-16 Microsoft Corporation Distributive security investigation
FR2930392A1 (en) * 2008-04-22 2009-10-23 Trustseed Sarl Method and data transfers securisation device
US20090328188A1 (en) * 2008-05-01 2009-12-31 Motorola, Inc. Context-based semantic firewall for the protection of information
US20090307183A1 (en) * 2008-06-10 2009-12-10 Eric Arno Vigen System and Method for Transmission of Communications by Unique Definition Identifiers
US8201247B1 (en) * 2008-06-11 2012-06-12 Trend Micro Incorporated Method and apparatus for providing a computer security service via instant messaging
EP2310938A4 (en) * 2008-06-29 2014-08-27 Oceans Edge Inc Mobile telephone firewall and compliance enforcement system and method
US8095635B2 (en) * 2008-07-21 2012-01-10 At&T Intellectual Property I, Lp Managing network traffic for improved availability of network services
US20100030858A1 (en) * 2008-08-04 2010-02-04 Chasin C Scott Method and system for centralized contact management
US8380793B2 (en) * 2008-09-05 2013-02-19 Microsoft Corporation Automatic non-junk message list inclusion
US8688823B1 (en) 2008-10-24 2014-04-01 Vmware, Inc. Association of network traffic to enterprise users in a terminal services environment
US9559800B1 (en) 2008-10-24 2017-01-31 Vmware, Inc. Dynamic packet filtering
US8561180B1 (en) * 2008-10-29 2013-10-15 Symantec Corporation Systems and methods for aiding in the elimination of false-positive malware detections within enterprises
US8997219B2 (en) 2008-11-03 2015-03-31 Fireeye, Inc. Systems and methods for detecting malicious PDF network content
US8559304B2 (en) * 2008-12-12 2013-10-15 At&T Intellectual Property I, Lp System and method for controlling streaming content in a cellular telephone
KR101544437B1 (en) * 2009-02-11 2015-08-17 삼성전자주식회사 Device and method for spam settings
US8695091B2 (en) * 2009-02-11 2014-04-08 Sophos Limited Systems and methods for enforcing policies for proxy website detection using advertising account ID
US8166122B2 (en) * 2009-03-24 2012-04-24 Lockheed Martin Corporation Method and apparatus for generating a figure of merit for use in transmission of messages in a multi-level secure environment
US9231964B2 (en) * 2009-04-14 2016-01-05 Microsoft Corporation Vulnerability detection based on aggregated primitives
US8356001B2 (en) * 2009-05-19 2013-01-15 Xybersecure, Inc. Systems and methods for application-level security
CA2763513A1 (en) 2009-05-26 2010-12-02 Roy Barkan Systems and methods for efficient detection of fingerprinted data and information
US8935258B2 (en) * 2009-06-15 2015-01-13 Microsoft Corporation Identification of sample data items for re-judging
US8959157B2 (en) * 2009-06-26 2015-02-17 Microsoft Corporation Real-time spam look-up system
US9423539B2 (en) 2009-07-17 2016-08-23 Hewlett Packard Enterprise Development Lp Non-periodic grating reflectors with focusing power and methods for fabricating the same
US8489685B2 (en) 2009-07-17 2013-07-16 Aryaka Networks, Inc. Application acceleration as a service system and method
US8379639B2 (en) * 2009-07-22 2013-02-19 Cisco Technology, Inc. Packet classification
US8977705B2 (en) * 2009-07-27 2015-03-10 Verisign, Inc. Method and system for data logging and analysis
US9477947B2 (en) * 2009-08-24 2016-10-25 International Business Machines Corporation Retrospective changing of previously sent messages
US9055077B2 (en) * 2009-08-24 2015-06-09 Apple Inc. Device identity matching
CN102483476B (en) 2009-09-23 2014-11-26 惠普发展公司,有限责任合伙企业 Optical devices based on diffraction gratings
WO2011053324A1 (en) * 2009-10-31 2011-05-05 Hewlett-Packard Development Company, L.P. Malicious code detection
FR2954547B1 (en) * 2009-12-21 2012-10-12 Alcatel Lucent Method for detection of? A computer resource diversion
CN102137059B (en) * 2010-01-21 2014-12-10 阿里巴巴集团控股有限公司 Method and system for blocking malicious accesses
JP2013518430A (en) 2010-01-29 2013-05-20 ヒューレット−パッカード デベロップメント カンパニー エル.ピー.Hewlett‐Packard Development Company, L.P. Vertical cavity surface emitting laser having a non-periodic grating
US8842363B2 (en) 2010-01-29 2014-09-23 Hewlett-Packard Development Company, L.P. Dynamically varying an optical characteristic of light by a sub-wavelength grating
US20110219016A1 (en) * 2010-03-04 2011-09-08 Src, Inc. Stream Mining via State Machine and High Dimensionality Database
US8424072B2 (en) * 2010-03-09 2013-04-16 Microsoft Corporation Behavior-based security system
US8576890B2 (en) 2010-04-26 2013-11-05 Hewlett-Packard Development Company, L.P. Vertical-cavity surface-emitting laser
US9922134B2 (en) * 2010-04-30 2018-03-20 Www.Trustscience.Com Inc. Assessing and scoring people, businesses, places, things, and brands
US20110282950A1 (en) * 2010-05-12 2011-11-17 Kfir Luzzatto Reverse message classification
US20120174219A1 (en) * 2010-05-14 2012-07-05 Mcafee, Inc. Identifying mobile device reputations
US9202049B1 (en) 2010-06-21 2015-12-01 Pulse Secure, Llc Detecting malware on mobile devices
US8369664B2 (en) 2010-07-30 2013-02-05 Hewlett-Packard Development Company, L.P. Optical apparatus for forming a tunable cavity
US9356941B1 (en) * 2010-08-16 2016-05-31 Symantec Corporation Systems and methods for detecting suspicious web pages
US8627463B1 (en) * 2010-09-13 2014-01-07 Symantec Corporation Systems and methods for using reputation information to evaluate the trustworthiness of files obtained via torrent transactions
US9015093B1 (en) 2010-10-26 2015-04-21 Michael Lamport Commons Intelligent control with hierarchical stacked neural networks
US8775341B1 (en) 2010-10-26 2014-07-08 Michael Lamport Commons Intelligent control with hierarchical stacked neural networks
US8775607B2 (en) * 2010-12-10 2014-07-08 International Business Machines Corporation Identifying stray assets in a computing enviroment and responsively taking resolution actions
US8959626B2 (en) * 2010-12-14 2015-02-17 F-Secure Corporation Detecting a suspicious entity in a communication network
US8640245B2 (en) 2010-12-24 2014-01-28 Kaspersky Lab, Zao Optimization of anti-malware processing by automated correction of detection rules
US8621618B1 (en) 2011-02-07 2013-12-31 Dell Products, Lp System and method for assessing whether a communication contains an attack
US8606866B2 (en) * 2011-02-10 2013-12-10 Kaspersky Lab Zao Systems and methods of probing data transmissions for detecting spam bots
EP2487860B1 (en) * 2011-02-10 2013-09-25 Telefónica, S.A. Method and system for improving security threats detection in communication networks
US9122877B2 (en) 2011-03-21 2015-09-01 Mcafee, Inc. System and method for malware and network reputation correlation
US9117074B2 (en) 2011-05-18 2015-08-25 Microsoft Technology Licensing, Llc Detecting a compromised online user account
US20120315893A1 (en) * 2011-06-09 2012-12-13 Alcatel-Lucent Canada Inc. Intelligent network management of subscriber-related events
JP5760736B2 (en) 2011-06-22 2015-08-12 富士通株式会社 Communication device
US9106680B2 (en) 2011-06-27 2015-08-11 Mcafee, Inc. System and method for protocol fingerprinting and reputation correlation
US9087324B2 (en) * 2011-07-12 2015-07-21 Microsoft Technology Licensing, Llc Message categorization
US9065826B2 (en) 2011-08-08 2015-06-23 Microsoft Technology Licensing, Llc Identifying application reputation based on resource accesses
US8713672B2 (en) 2011-08-15 2014-04-29 Bank Of America Corporation Method and apparatus for token-based context caching
US9442881B1 (en) 2011-08-31 2016-09-13 Yahoo! Inc. Anti-spam transient entity classification
GB201115366D0 (en) * 2011-09-06 2011-10-19 Skype Ltd Analysis of a communication event
WO2013111532A1 (en) * 2012-01-25 2013-08-01 日本電気株式会社 Administration system, administration method, and program
US8726338B2 (en) 2012-02-02 2014-05-13 Juniper Networks, Inc. Dynamic threat protection in mobile networks
US9032520B2 (en) * 2012-02-22 2015-05-12 iScanOnline, Inc. Remote security self-assessment framework
RU2510982C2 (en) * 2012-04-06 2014-04-10 Закрытое акционерное общество "Лаборатория Касперского" User evaluation system and method for message filtering
US8931043B2 (en) 2012-04-10 2015-01-06 Mcafee Inc. System and method for determining and using local reputations of users and hosts to protect information in a network environment
US9118689B1 (en) * 2012-04-13 2015-08-25 Zscaler, Inc. Archiving systems and methods for cloud based systems
US8996691B1 (en) 2012-05-01 2015-03-31 Amazon Technologies, Inc. Methods and apparatus for providing out-of-band network traffic monitoring
US9166992B1 (en) * 2012-05-01 2015-10-20 Amazon Technologies, Inc. Methods and apparatus for providing network traffic monitoring services
US9032070B1 (en) 2012-05-01 2015-05-12 Amazon Technologies, Inc. Methods and apparatus for providing inline network traffic monitoring
US9495519B2 (en) * 2012-05-10 2016-11-15 International Business Machines Corporation Communications security management
US9876742B2 (en) 2012-06-29 2018-01-23 Microsoft Technology Licensing, Llc Techniques to select and prioritize application of junk email filtering rules
US20140059141A1 (en) * 2012-08-23 2014-02-27 Linkedln Corporation Electronic messaging system utilizing social classification rules
US8918473B1 (en) * 2012-10-09 2014-12-23 Whatsapp Inc. System and method for detecting unwanted content
US9081975B2 (en) 2012-10-22 2015-07-14 Palantir Technologies, Inc. Sharing information between nexuses that use different classification schemes for information access control
US9406016B2 (en) * 2012-10-23 2016-08-02 Icf International Method and apparatus for monitoring network traffic
US8914857B2 (en) * 2012-11-21 2014-12-16 Wal-Mart Stores, Inc. Security bypass environment for circumventing a security application in a computing environment
US9241259B2 (en) 2012-11-30 2016-01-19 Websense, Inc. Method and apparatus for managing the transfer of sensitive information to mobile devices
US9195829B1 (en) 2013-02-23 2015-11-24 Fireeye, Inc. User interface with real-time visual playback along with synchronous textual analysis log display and event/time index for anomalous behavior detection in applications
US9367681B1 (en) 2013-02-23 2016-06-14 Fireeye, Inc. Framework for efficient security coverage of mobile software applications using symbolic execution to reach regions of interest within an application
US9626509B1 (en) 2013-03-13 2017-04-18 Fireeye, Inc. Malicious content analysis with multi-version application support within single operating environment
US9355247B1 (en) 2013-03-13 2016-05-31 Fireeye, Inc. File extraction from memory dump for malicious content analysis
US9311479B1 (en) 2013-03-14 2016-04-12 Fireeye, Inc. Correlation and consolidation of analytic data for holistic view of a malware attack
US9430646B1 (en) 2013-03-14 2016-08-30 Fireeye, Inc. Distributed systems and methods for automatically detecting unknown bots and botnets
US9965937B2 (en) 2013-03-15 2018-05-08 Palantir Technologies Inc. External malware data item clustering and analysis
US8818892B1 (en) 2013-03-15 2014-08-26 Palantir Technologies, Inc. Prioritizing data clusters with customizable scoring strategies
US9495180B2 (en) 2013-05-10 2016-11-15 Fireeye, Inc. Optimized resource allocation for virtual machines within a malware content detection system
US9306957B2 (en) * 2013-06-14 2016-04-05 Sap Se Proactive security system for distributed computer networks
US9009825B1 (en) * 2013-06-21 2015-04-14 Trend Micro Incorporated Anomaly detector for computer networks
US9300686B2 (en) 2013-06-28 2016-03-29 Fireeye, Inc. System and method for detecting malicious links in electronic messages
US9336025B2 (en) 2013-07-12 2016-05-10 The Boeing Company Systems and methods of analyzing a software component
US9852290B1 (en) 2013-07-12 2017-12-26 The Boeing Company Systems and methods of analyzing a software component
US9280369B1 (en) 2013-07-12 2016-03-08 The Boeing Company Systems and methods of analyzing a software component
US9396082B2 (en) 2013-07-12 2016-07-19 The Boeing Company Systems and methods of analyzing a software component
US9335897B2 (en) 2013-08-08 2016-05-10 Palantir Technologies Inc. Long click display of a context menu
US9319419B2 (en) * 2013-09-26 2016-04-19 Wave Systems Corp. Device identification scoring
US9171160B2 (en) 2013-09-30 2015-10-27 Fireeye, Inc. Dynamically adaptive framework and method for classifying malware using intelligent static, emulation, and dynamic analyses
US9294501B2 (en) 2013-09-30 2016-03-22 Fireeye, Inc. Fuzzy hash of behavioral results
US9690936B1 (en) 2013-09-30 2017-06-27 Fireeye, Inc. Multistage system and method for analyzing obfuscated content for malware
US9628507B2 (en) 2013-09-30 2017-04-18 Fireeye, Inc. Advanced persistent threat (APT) detection center
US9479521B2 (en) 2013-09-30 2016-10-25 The Boeing Company Software network behavior analysis and identification system
US9736179B2 (en) 2013-09-30 2017-08-15 Fireeye, Inc. System, apparatus and method for using malware analysis results to drive adaptive instrumentation of virtual machines to improve exploit detection
CN105580023A (en) 2013-10-24 2016-05-11 迈克菲股份有限公司 Agent assisted malicious application blocking in a network environment
US9319423B2 (en) 2013-11-04 2016-04-19 At&T Intellectual Property I, L.P. Malware and anomaly detection via activity recognition based on sensor data
US9921978B1 (en) 2013-11-08 2018-03-20 Fireeye, Inc. System and method for enhanced security of storage devices
US9613196B2 (en) 2013-12-19 2017-04-04 Intel Corporation Protection system including machine learning snapshot evaluation
US9747446B1 (en) 2013-12-26 2017-08-29 Fireeye, Inc. System and method for run-time object classification
US9756074B2 (en) 2013-12-26 2017-09-05 Fireeye, Inc. System and method for IPS and VM-based detection of suspicious objects
US9338013B2 (en) 2013-12-30 2016-05-10 Palantir Technologies Inc. Verifiable redactable audit log
US8832832B1 (en) 2014-01-03 2014-09-09 Palantir Technologies Inc. IP reputation
US9262635B2 (en) 2014-02-05 2016-02-16 Fireeye, Inc. Detection efficacy of virtual machine-based analysis with application specific events
US9009827B1 (en) * 2014-02-20 2015-04-14 Palantir Technologies Inc. Security sharing system
US9886581B2 (en) 2014-02-25 2018-02-06 Accenture Global Solutions Limited Automated intelligence graph construction and countermeasure deployment
US9438611B2 (en) * 2014-03-17 2016-09-06 Lenovo Enterprise Solutions (Singapore) Pte. Ltd. Managing a blocked-originator list for a messaging application
US9591015B1 (en) 2014-03-28 2017-03-07 Fireeye, Inc. System and method for offloading packet processing and static analysis operations
US9432389B1 (en) 2014-03-31 2016-08-30 Fireeye, Inc. System, apparatus and method for detecting a malicious attack based on static analysis of a multi-flow object
US9223972B1 (en) 2014-03-31 2015-12-29 Fireeye, Inc. Dynamically remote tuning of a malware content detection system
CN103973489B (en) * 2014-04-30 2016-08-24 北京航天万达高科技有限公司 Heterogeneous device centralized monitoring system
CN103973697B (en) * 2014-05-19 2017-03-29 重庆邮电大学 Things one kind of intrusion detection sensing layer
US9928465B2 (en) * 2014-05-20 2018-03-27 Oath Inc. Machine learning and validation of account names, addresses, and/or identifiers
US9734450B2 (en) 2014-06-05 2017-08-15 Lenovo Enterprise Solutions (Singapore) Pte. Ltd. Data loss prevention to remove false positives
US9438623B1 (en) 2014-06-06 2016-09-06 Fireeye, Inc. Computer exploit detection using heap spray pattern matching
US9594912B1 (en) 2014-06-06 2017-03-14 Fireeye, Inc. Return-oriented programming detection
US9973531B1 (en) 2014-06-06 2018-05-15 Fireeye, Inc. Shellcode detection
US9398028B1 (en) 2014-06-26 2016-07-19 Fireeye, Inc. System, device and method for detecting a malicious attack based on communcations between remotely hosted virtual machines and malicious web servers
US9785773B2 (en) 2014-07-03 2017-10-10 Palantir Technologies Inc. Malware data item analysis
US9021260B1 (en) 2014-07-03 2015-04-28 Palantir Technologies Inc. Malware data item analysis
US9419992B2 (en) 2014-08-13 2016-08-16 Palantir Technologies Inc. Unwanted tunneling alert system
US9363280B1 (en) 2014-08-22 2016-06-07 Fireeye, Inc. System and method of detecting delivery of malware using cross-customer data
US9967282B2 (en) * 2014-09-14 2018-05-08 Sophos Limited Labeling computing objects for improved threat detection
US9773112B1 (en) 2014-09-29 2017-09-26 Fireeye, Inc. Exploit detection of malware and malware families
US9043894B1 (en) 2014-11-06 2015-05-26 Palantir Technologies Inc. Malicious software detection in a computing system
CN105721276A (en) * 2014-11-17 2016-06-29 纬创资通股份有限公司 Method For Identifying Spam Mail And Mail Server Using The Same
US9367872B1 (en) 2014-12-22 2016-06-14 Palantir Technologies Inc. Systems and user interfaces for dynamic and interactive investigation of bad actor behavior based on automatic clustering of related data in various data structures
US9690933B1 (en) 2014-12-22 2017-06-27 Fireeye, Inc. Framework for classifying an object as malicious with machine learning for deploying updated predictive models
US9648036B2 (en) 2014-12-29 2017-05-09 Palantir Technologies Inc. Systems for network risk assessment including processing of user access rights associated with a network of devices
US9467455B2 (en) 2014-12-29 2016-10-11 Palantir Technologies Inc. Systems for network risk assessment including processing of user access rights associated with a network of devices
US9838417B1 (en) 2014-12-30 2017-12-05 Fireeye, Inc. Intelligent context aware user interaction for malware detection
US9690606B1 (en) 2015-03-25 2017-06-27 Fireeye, Inc. Selective system call monitoring
US9438613B1 (en) 2015-03-30 2016-09-06 Fireeye, Inc. Dynamic content activation for automated analysis of embedded objects
US9483644B1 (en) 2015-03-31 2016-11-01 Fireeye, Inc. Methods for detecting file altering malware in VM based analysis
US9350750B1 (en) * 2015-04-03 2016-05-24 Area 1 Security, Inc. Distribution of security rules among sensor computers
US9594904B1 (en) 2015-04-23 2017-03-14 Fireeye, Inc. Detecting malware based on reflection
CN106295381A (en) * 2015-05-19 2017-01-04 澜起科技(上海)有限公司 Device for monitoring data access to internal storage device and internal storage device
US9473438B1 (en) 2015-05-27 2016-10-18 OTC Systems Ltd. System for analyzing email for compliance with rules
US9407652B1 (en) 2015-06-26 2016-08-02 Palantir Technologies Inc. Network anomaly detection
US9537880B1 (en) 2015-08-19 2017-01-03 Palantir Technologies Inc. Anomalous network monitoring, user behavior detection and database system
US9825989B1 (en) 2015-09-30 2017-11-21 Fireeye, Inc. Cyber attack early warning system
US9825976B1 (en) 2015-09-30 2017-11-21 Fireeye, Inc. Detection and classification of exploit kits
US20170180316A1 (en) * 2015-12-22 2017-06-22 Cisco Technology, Inc. Method and apparatus for federated firewall security
US9888039B2 (en) 2015-12-28 2018-02-06 Palantir Technologies Inc. Network-based permissioning system
US9916465B1 (en) 2015-12-29 2018-03-13 Palantir Technologies Inc. Systems and methods for automatic and customizable data minimization of electronic data stores
US9824216B1 (en) 2015-12-31 2017-11-21 Fireeye, Inc. Susceptible environment detection system
US9923931B1 (en) 2016-02-05 2018-03-20 Digital Reasoning Systems, Inc. Systems and methods for identifying violation conditions from electronic communications
US20170250919A1 (en) * 2016-02-29 2017-08-31 Netapp, Inc. Systems and methods for resource management in a networked environment
WO2017195199A1 (en) * 2016-05-10 2017-11-16 Ironscales Ltd. Method and system for detecting malicious and soliciting electronic messages
US20180020021A1 (en) * 2016-07-13 2018-01-18 Hill Top Security, Inc. Computerized system and method for providing cybersecurity detection and response functionality

Citations (96)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US138416A (en) * 1873-04-29 Improvement in atomizer-bulbs
US4289930A (en) * 1978-11-30 1981-09-15 The General Electric Company Limited Electronic apparatus for the display of information received over a line
US4384325A (en) * 1980-06-23 1983-05-17 Sperry Corporation Apparatus and method for searching a data base using variable search criteria
US4386416A (en) * 1980-06-02 1983-05-31 Mostek Corporation Data compression, encryption, and in-line transmission system
US4532588A (en) * 1982-11-09 1985-07-30 International Business Machines Corporation Electronic document distribution network with uniform data stream
US4713780A (en) * 1985-04-15 1987-12-15 Express Communications, Inc. Electronic mail
US4754428A (en) * 1985-04-15 1988-06-28 Express Communications, Inc. Apparatus and method of distributing documents to remote terminals with different formats
US4837798A (en) * 1986-06-02 1989-06-06 American Telephone And Telegraph Company Communication system having unified messaging
US4853961A (en) * 1987-12-18 1989-08-01 Pitney Bowes Inc. Reliable document authentication system
US4864573A (en) * 1986-09-25 1989-09-05 Robert Bosch Gmbh Apparatus for reproducing a pcm modulated signal, comprising a muting circuit
US4951196A (en) * 1988-05-04 1990-08-21 Supply Tech, Inc. Method and apparatus for electronic data interchange
US4975950A (en) * 1988-11-03 1990-12-04 Lentz Stephen A System and method of protecting integrity of computer data and software
US4979210A (en) * 1987-07-08 1990-12-18 Matsushita Electric Industrial Co., Ltd. Method and apparatus for protection of signal copy
US5008814A (en) * 1988-08-15 1991-04-16 Network Equipment Technologies, Inc. Method and apparatus for updating system software for a plurality of data processing units in a communication network
US5020059A (en) * 1989-03-31 1991-05-28 At&T Bell Laboratories Reconfigurable signal processor
US5051886A (en) * 1987-06-15 1991-09-24 Hitachi, Ltd. System for character stream search using finite state automaton technique
US5054096A (en) * 1988-10-24 1991-10-01 Empire Blue Cross/Blue Shield Method and apparatus for converting documents into electronic data for transaction processing
US5105184A (en) * 1989-11-09 1992-04-14 Noorali Pirani Methods for displaying and integrating commercial advertisements with computer software
US5119465A (en) * 1989-06-19 1992-06-02 Digital Equipment Corporation System for selectively converting plurality of source data structures through corresponding source intermediate structures, and target intermediate structures into selected target structure
US5144557A (en) * 1990-08-13 1992-09-01 International Business Machines Corporation Method and system for document distribution by reference to a first group and particular document to a second group of user in a data processing system
US5144660A (en) * 1988-08-31 1992-09-01 Rose Anthony M Securing a computer against undesired write operations to or read operations from a mass storage device
US5144659A (en) * 1989-04-19 1992-09-01 Richard P. Jones Computer file protection system
US5167011A (en) * 1989-02-15 1992-11-24 W. H. Morris Method for coodinating information storage and retrieval
US5210824A (en) * 1989-03-03 1993-05-11 Xerox Corporation Encoding-format-desensitized methods and means for interchanging electronic document as appearances
US5210825A (en) * 1990-04-26 1993-05-11 Teknekron Communications Systems, Inc. Method and an apparatus for displaying graphical data received from a remote computer by a local computer
US5235642A (en) * 1992-07-21 1993-08-10 Digital Equipment Corporation Access control subsystem and method for distributed computer system using locally cached authentication credentials
US5239466A (en) * 1990-10-04 1993-08-24 Motorola, Inc. System for selectively routing and merging independent annotations to a document at remote locations
US5247661A (en) * 1990-09-10 1993-09-21 International Business Machines Corporation Method and apparatus for automated document distribution in a data processing system
US5276869A (en) * 1990-09-10 1994-01-04 International Business Machines Corporation System for selecting document recipients as determined by technical content of document and for electronically corroborating receipt of document
US5278901A (en) * 1992-04-30 1994-01-11 International Business Machines Corporation Pattern-oriented intrusion-detection system and method
US5283887A (en) * 1990-12-19 1994-02-01 Bull Hn Information Systems Inc. Automatic document format conversion in an electronic mail system based upon user preference
US5293250A (en) * 1991-03-14 1994-03-08 Hitachi, Ltd. A system for notifying a destination terminal that electronic mail has reached a host computer
US5313521A (en) * 1992-04-15 1994-05-17 Fujitsu Limited Key distribution protocol for file transfer in the local area network
US5319776A (en) * 1990-04-19 1994-06-07 Hilgraeve Corporation In transit detection of computer virus with safeguard
US5355472A (en) * 1990-04-10 1994-10-11 International Business Machines Corporation System for substituting tags for non-editable data sets in hypertext documents and updating web files containing links between data sets corresponding to changes made to the tags
US5367621A (en) * 1991-09-06 1994-11-22 International Business Machines Corporation Data processing method to provide a generalized link from a reference point in an on-line book to an arbitrary multimedia object which can be dynamically updated
US5696822A (en) * 1995-09-28 1997-12-09 Symantec Corporation Polymorphic virus detection module
US5826013A (en) * 1995-09-28 1998-10-20 Symantec Corporation Polymorphic virus detection module
US6006329A (en) * 1997-08-11 1999-12-21 Symantec Corporation Detection of computer viruses spanning multiple data streams
US6029256A (en) * 1997-12-31 2000-02-22 Network Associates, Inc. Method and system for allowing computer programs easy access to features of a virus scanning engine
US6035423A (en) * 1997-12-31 2000-03-07 Network Associates, Inc. Method and system for providing automated updating and upgrading of antivirus applications using a computer network
US6094731A (en) * 1997-11-24 2000-07-25 Symantec Corporation Antivirus accelerator for computer networks
US6161130A (en) * 1998-06-23 2000-12-12 Microsoft Corporation Technique which utilizes a probabilistic classifier to detect "junk" e-mail by automatically updating a training and re-training the classifier based on the updated training set
US6199102B1 (en) * 1997-08-26 2001-03-06 Christopher Alan Cobb Method and system for filtering electronic messages
US6275942B1 (en) * 1998-05-20 2001-08-14 Network Associates, Inc. System, method and computer program product for automatic response to computer system misuse using active response modules
US20020035683A1 (en) * 2000-09-07 2002-03-21 Kaashoek Marinus Frans Architecture to thwart denial of service attacks
US6393465B2 (en) * 1997-11-25 2002-05-21 Nixmail Corporation Junk electronic mail detector and eliminator
US6442686B1 (en) * 1998-07-02 2002-08-27 Networks Associates Technology, Inc. System and methodology for messaging server-based management and enforcement of crypto policies
US20030023692A1 (en) * 2001-07-27 2003-01-30 Fujitsu Limited Electronic message delivery system, electronic message delivery managment server, and recording medium in which electronic message delivery management program is recorded
US20030023875A1 (en) * 2001-07-26 2003-01-30 Hursey Neil John Detecting e-mail propagated malware
US20030051026A1 (en) * 2001-01-19 2003-03-13 Carter Ernst B. Network surveillance and security system
US20030051168A1 (en) * 2001-08-10 2003-03-13 King James E. Virus detection
US6539430B1 (en) * 1997-03-25 2003-03-25 Symantec Corporation System and method for filtering data received by a computer system
US6546493B1 (en) * 2001-11-30 2003-04-08 Networks Associates Technology, Inc. System, method and computer program product for risk assessment scanning based on detected anomalous events
US6546416B1 (en) * 1998-12-09 2003-04-08 Infoseek Corporation Method and system for selectively blocking delivery of bulk electronic mail
US6550012B1 (en) * 1998-12-11 2003-04-15 Network Associates, Inc. Active firewall system and methodology
US20030088792A1 (en) * 2001-04-13 2003-05-08 Nokia, Inc. System and method for providing exploit protection with message tracking
US20030095555A1 (en) * 2001-11-16 2003-05-22 Mcnamara Justin System for the validation and routing of messages
US20030140137A1 (en) * 2001-12-21 2003-07-24 Networks Associates Technology, Inc Enterprise Network analyzer architecture framework
US20030154399A1 (en) * 2002-02-08 2003-08-14 Nir Zuk Multi-method gateway-based network security systems and methods
US20030158905A1 (en) * 2002-02-19 2003-08-21 Postini Corporation E-mail management services
US20030187996A1 (en) * 2001-11-16 2003-10-02 Cardina Donald M. Methods and systems for routing messages through a communications network based on message content
US20030212791A1 (en) * 2002-04-23 2003-11-13 Pickup Robert Barkley Method and system for authorising electronic mail
US6650890B1 (en) * 2000-09-29 2003-11-18 Postini, Inc. Value-added electronic messaging services and transparent implementation thereof using intermediate server
US6654787B1 (en) * 1998-12-31 2003-11-25 Brightmail, Incorporated Method and apparatus for filtering e-mail
US6675153B1 (en) * 1999-07-06 2004-01-06 Zix Corporation Transaction authorization system
US20040015554A1 (en) * 2002-07-16 2004-01-22 Brian Wilson Active e-mail filter with challenge-response
US6687687B1 (en) * 2000-07-26 2004-02-03 Zix Scm, Inc. Dynamic indexing information retrieval or filtering system
US20040025044A1 (en) * 2002-07-30 2004-02-05 Day Christopher W. Intrusion detection system
US6697950B1 (en) * 1999-12-22 2004-02-24 Networks Associates Technology, Inc. Method and apparatus for detecting a macro computer virus using static analysis
US6701440B1 (en) * 2000-01-06 2004-03-02 Networks Associates Technology, Inc. Method and system for protecting a computer using a remote e-mail scanning device
US6711127B1 (en) * 1998-07-31 2004-03-23 General Dynamics Government Systems Corporation System for intrusion detection and vulnerability analysis in a telecommunications signaling network
US6725377B1 (en) * 1999-03-12 2004-04-20 Networks Associates Technology, Inc. Method and system for updating anti-intrusion software
US6732157B1 (en) * 2002-12-13 2004-05-04 Networks Associates Technology, Inc. Comprehensive anti-spam system, method, and computer program product for filtering unwanted e-mail messages
US6732101B1 (en) * 2000-06-15 2004-05-04 Zix Corporation Secure message forwarding system detecting user's preferences including security preferences
US20040088570A1 (en) * 2001-12-21 2004-05-06 Roberts Guy William Welch Predictive malware scanning of internet data
US6735703B1 (en) * 2000-05-08 2004-05-11 Networks Associates Technology, Inc. Multi-platform sequence-based anomaly detection wrapper
US6738462B1 (en) * 2000-07-19 2004-05-18 Avaya Technology Corp. Unified communications automated personal name addressing
US6742128B1 (en) * 2002-08-28 2004-05-25 Networks Associates Technology Threat assessment orchestrator system and method
US20040111531A1 (en) * 2002-12-06 2004-06-10 Stuart Staniford Method and system for reducing the rate of infection of a communications network by a software worm
US6757830B1 (en) * 2000-10-03 2004-06-29 Networks Associates Technology, Inc. Detecting unwanted properties in received email messages
US20040139334A1 (en) * 2001-01-13 2004-07-15 Wiseman Simon Robert Computer system protection
US20040139160A1 (en) * 2003-01-09 2004-07-15 Microsoft Corporation Framework to enable integration of anti-spam technologies
US6769016B2 (en) * 2001-07-26 2004-07-27 Networks Associates Technology, Inc. Intelligent SPAM detection system using an updateable neural analysis engine
US6768991B2 (en) * 2001-05-15 2004-07-27 Networks Associates Technology, Inc. Searching for sequences of character data
US6792546B1 (en) * 1999-01-15 2004-09-14 Cisco Technology, Inc. Intrusion detection signature analysis using regular expressions and logical operators
US20040203589A1 (en) * 2002-07-11 2004-10-14 Wang Jiwei R. Method and system for controlling messages in a communication network
US6892237B1 (en) * 2000-03-28 2005-05-10 Cisco Technology, Inc. Method and apparatus for high-speed parsing of network messages
US6928556B2 (en) * 2001-08-30 2005-08-09 International Business Machines Corporation Method and apparatus in a data processing system for managing situations from correlated events
US6941467B2 (en) * 2002-03-08 2005-09-06 Ciphertrust, Inc. Systems and methods for adaptive message interrogation through multiple queues
US7076527B2 (en) * 2001-06-14 2006-07-11 Apple Computer, Inc. Method and apparatus for filtering email
US7209954B1 (en) * 2001-07-26 2007-04-24 Mcafee, Inc. System and method for intelligent SPAM detection using statistical analysis
US7219131B2 (en) * 2003-01-16 2007-05-15 Ironport Systems, Inc. Electronic message delivery using an alternate source approach
US7254608B2 (en) * 2002-10-31 2007-08-07 Sun Microsystems, Inc. Managing distribution of content using mobile agents in peer-topeer networks
US20070203997A1 (en) * 2003-06-12 2007-08-30 Microsoft Corporation Categorizing electronic messages based on trust between electronic messaging entities
US7278159B2 (en) * 2000-09-07 2007-10-02 Mazu Networks, Inc. Coordinated thwarting of denial of service attacks

Family Cites Families (335)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB8825096D0 (en) * 1988-10-26 1988-11-30 W A Technology Ltd Current amplifier
CA1321656C (en) 1988-12-22 1993-08-24 International Business Machines Corporation Method for restricting delivery and receipt of electronic message
GB8918553D0 (en) * 1989-08-15 1989-09-27 Digital Equipment Int Message control system
JPH03117940A (en) 1989-09-25 1991-05-20 Internatl Business Mach Corp <Ibm> Management method for electronic mail
US5495610A (en) 1989-11-30 1996-02-27 Seer Technologies, Inc. Software distribution system to build and distribute a software release
US5187011A (en) * 1989-12-04 1993-02-16 Exxon Research And Engineering Company Composition comprising encapsulated substrate with thermoplastic polymer overcoating
US5822527A (en) 1990-05-04 1998-10-13 Digital Equipment Corporation Method and apparatus for information stream filtration using tagged information access and action registration
JP3161725B2 (en) 1990-11-21 2001-04-25 株式会社日立製作所 Workstations and co-processing system
US5424724A (en) 1991-03-27 1995-06-13 International Business Machines Corporation Method and apparatus for enhanced electronic mail distribution
US5513323A (en) 1991-06-14 1996-04-30 International Business Machines Corporation Method and apparatus for multistage document format transformation in a data processing system
US5577209A (en) 1991-07-11 1996-11-19 Itt Corporation Apparatus and method for providing multi-level security for communication among computers and terminals on a network
US5379340A (en) 1991-08-02 1995-01-03 Betterprize Limited Text communication system
US5485409A (en) 1992-04-30 1996-01-16 International Business Machines Corporation Automated penetration analysis system and method
GB2271002B (en) 1992-09-26 1995-12-06 Digital Equipment Int Data processing system
US5418908A (en) 1992-10-15 1995-05-23 International Business Machines Corporation System for automatically establishing a link between an electronic mail item and a remotely stored reference through a place mark inserted into the item
JP3553987B2 (en) 1992-11-13 2004-08-11 株式会社日立製作所 Client-server system
US5675733A (en) 1992-11-30 1997-10-07 International Business Machines Corporation Statistical analysis and display of reception status of electronic messages
US5544320A (en) 1993-01-08 1996-08-06 Konrad; Allan M. Remote information service access system based on a client-server-service model
US5406557A (en) 1993-02-01 1995-04-11 National Semiconductor Corporation Interenterprise electronic mail hub
US5479411A (en) 1993-03-10 1995-12-26 At&T Corp. Multi-media integrated message arrangement
US5404231A (en) 1993-05-24 1995-04-04 Audiofax, Inc. Sender-based facsimile store and forward facility
FR2706652B1 (en) 1993-06-09 1995-08-18 Alsthom Cge Alcatel Device for detecting intrusion and suspect users for data processing system and security system comprising such a device.
JPH0764788A (en) 1993-06-14 1995-03-10 Mitsubishi Electric Corp Micro computer
JPH0737087A (en) 1993-07-19 1995-02-07 Matsushita Electric Ind Co Ltd Picture processor
JPH0779298A (en) 1993-09-08 1995-03-20 Hitachi Ltd Facsimile server system
US5657461A (en) * 1993-10-04 1997-08-12 Xerox Corporation User interface for defining and automatically transmitting data according to preferred communication channels
US5513126A (en) 1993-10-04 1996-04-30 Xerox Corporation Network having selectively accessible recipient prioritized communication channel profiles
US5414833A (en) 1993-10-27 1995-05-09 International Business Machines Corporation Network security system and method using a parallel finite state machine adaptive active monitor and responder
CA2134490C (en) 1993-10-29 2000-05-23 John E. Fittock Process for the preparation of a high purity cobalt intermediate
US5771354A (en) * 1993-11-04 1998-06-23 Crawford; Christopher M. Internet online backup system provides remote storage for customers using IDs and passwords which were interactively established when signing up for backup services
US5606668A (en) * 1993-12-15 1997-02-25 Checkpoint Software Technologies Ltd. System for securing inbound and outbound data packet flow in a computer network
US5509074A (en) 1994-01-27 1996-04-16 At&T Corp. Method of protecting electronically published materials using cryptographic protocols
US5557742A (en) 1994-03-07 1996-09-17 Haystack Labs, Inc. Method and system for detecting intrusion into and misuse of a data processing system
JP3222684B2 (en) 1994-04-20 2001-10-29 株式会社東芝 A semiconductor memory device
US5541993A (en) 1994-05-10 1996-07-30 Fan; Eric Structure and method for secure image transmission
US5511122A (en) 1994-06-03 1996-04-23 The United States Of America As Represented By The Secretary Of The Navy Intermediate network authentication
US5416842A (en) 1994-06-10 1995-05-16 Sun Microsystems, Inc. Method and apparatus for key-management scheme for use with internet protocols at site firewalls
US5606666A (en) * 1994-07-19 1997-02-25 International Business Machines Corporation Method and apparatus for distributing control messages between interconnected processing elements by mapping control messages of a shared memory addressable by the receiving processing element
US5481312A (en) * 1994-09-12 1996-01-02 At&T Corp. Method of and apparatus for the transmission of high and low priority segments of a video bitstream over packet networks
US5740231A (en) 1994-09-16 1998-04-14 Octel Communications Corporation Network-based multimedia communications and directory system and method of operation
US5933478A (en) 1994-09-28 1999-08-03 Hitachi, Ltd. Data transfer system and handheld terminal device used therefor
US5535276A (en) 1994-11-09 1996-07-09 Bell Atlantic Network Services, Inc. Yaksha, an improved system and method for securing communications using split private key asymmetric cryptography
US5805719A (en) 1994-11-28 1998-09-08 Smarttouch Tokenless identification of individuals
US5758257A (en) 1994-11-29 1998-05-26 Herz; Frederick System and method for scheduling broadcast of and access to video programs and other data using customer profiles
US5619648A (en) 1994-11-30 1997-04-08 Lucent Technologies Inc. Message filtering techniques
US5608874A (en) 1994-12-02 1997-03-04 Autoentry Online, Inc. System and method for automatic data file format translation and transmission having advanced features
US5550984A (en) 1994-12-07 1996-08-27 Matsushita Electric Corporation Of America Security system for preventing unauthorized communications between networks by translating communications received in ip protocol to non-ip protocol to remove address and routing services information
US5530852A (en) 1994-12-20 1996-06-25 Sun Microsystems, Inc. Method for extracting profiles and topics from a first file written in a first markup language and generating files in different markup languages containing the profiles and topics for use in accessing data described by the profiles and topics
US5638487A (en) 1994-12-30 1997-06-10 Purespeech, Inc. Automatic speech recognition
US5694616A (en) 1994-12-30 1997-12-02 International Business Machines Corporation Method and system for prioritization of email items by selectively associating priority attribute with at least one and fewer than all of the recipients
US5878230A (en) * 1995-01-05 1999-03-02 International Business Machines Corporation System for email messages wherein the sender designates whether the recipient replies or forwards to addresses also designated by the sender
DE19505741A1 (en) * 1995-02-20 1996-08-22 Schaeffler Waelzlager Kg Arrangement to avoid starting noise in Nockenverstellern
US5710883A (en) 1995-03-10 1998-01-20 Stanford University Hypertext document transport mechanism for firewall-compatible distributed world-wide web publishing
US5790793A (en) 1995-04-04 1998-08-04 Higley; Thomas Method and system to create, transmit, receive and process information, including an address to further information
US5677955A (en) 1995-04-07 1997-10-14 Financial Services Technology Consortium Electronic funds transfer instruments
EP0740455B1 (en) 1995-04-25 2003-07-02 Canon Kabushiki Kaisha Data communication apparatus and method
US5675507A (en) 1995-04-28 1997-10-07 Bobo, Ii; Charles R. Message storage and delivery system
JP3998710B2 (en) 1995-05-08 2007-10-31 クランベリー、プロパティーズ、リミテッド、ライアビリティー、カンパニー Rule-compliant electronic message management device
JP3338585B2 (en) 1995-05-16 2002-10-28 富士通株式会社 Conversion apparatus and method of presentation data
US5632011A (en) * 1995-05-22 1997-05-20 Sterling Commerce, Inc. Electronic mail management system for operation on a host computer system
US5708780A (en) 1995-06-07 1998-01-13 Open Market, Inc. Internet server access control and monitoring systems
US5812776A (en) 1995-06-07 1998-09-22 Open Market, Inc. Method of providing internet pages by mapping telephone number provided by client to URL and returning the same in a redirect command by server
US5742759A (en) 1995-08-18 1998-04-21 Sun Microsystems, Inc. Method and system for facilitating access control to system resources in a distributed computer system
EP0762337A3 (en) 1995-09-08 2000-01-19 Francotyp-Postalia Aktiengesellschaft &amp; Co. Method and device for enhancing manipulation-proof of critical data
US5572643A (en) 1995-10-19 1996-11-05 Judson; David H. Web browser with dynamic display of information objects during linking
US5948062A (en) 1995-10-27 1999-09-07 Emc Corporation Network file server using a cached disk array storing a network file directory including file locking information and data mover computers each having file system software for shared read-write file access
US5826029A (en) * 1995-10-31 1998-10-20 International Business Machines Corporation Secured gateway interface
US5793763A (en) 1995-11-03 1998-08-11 Cisco Technology, Inc. Security system for network address translation systems
US5923846A (en) 1995-11-06 1999-07-13 Microsoft Corporation Method of uploading a message containing a file reference to a server and downloading a file from the server using the file reference
US5764906A (en) 1995-11-07 1998-06-09 Netword Llc Universal electronic resource denotation, request and delivery system
JPH09153050A (en) * 1995-11-29 1997-06-10 Hitachi Ltd Method and device for gathering document information
US5937164A (en) 1995-12-07 1999-08-10 Hyperlock Technologies, Inc. Method and apparatus of secure server control of local media via a trigger through a network for instant local access of encrypted data on local media within a platform independent networking system
US5758343A (en) 1995-12-08 1998-05-26 Ncr Corporation Apparatus and method for integrating multiple delegate directory service agents
US5745574A (en) 1995-12-15 1998-04-28 Entegrity Solutions Corporation Security infrastructure for electronic transactions
US5706442A (en) 1995-12-20 1998-01-06 Block Financial Corporation System for on-line financial services using distributed objects
US5781901A (en) 1995-12-21 1998-07-14 Intel Corporation Transmitting electronic mail attachment over a network using a e-mail page
US5903723A (en) 1995-12-21 1999-05-11 Intel Corporation Method and apparatus for transmitting electronic mail attachments with attachment references
US5796951A (en) 1995-12-22 1998-08-18 Intel Corporation System for displaying information relating to a computer network including association devices with tasks performable on those devices
US5602918A (en) 1995-12-22 1997-02-11 Virtual Open Network Environment Corp. Application level security system and method
WO1997025798A1 (en) * 1996-01-11 1997-07-17 Mrj, Inc. System for controlling access and distribution of digital property
US5801700A (en) 1996-01-19 1998-09-01 Silicon Graphics Incorporated System and method for an iconic drag and drop interface for electronic file transfer
US5826014A (en) * 1996-02-06 1998-10-20 Network Engineering Software Firewall system for protecting network elements connected to a public network
US5751956A (en) 1996-02-21 1998-05-12 Infoseek Corporation Method and apparatus for redirection of server external hyper-link references
US5963915A (en) 1996-02-21 1999-10-05 Infoseek Corporation Secure, convenient and efficient system and method of performing trans-internet purchase transactions
US5855020A (en) 1996-02-21 1998-12-29 Infoseek Corporation Web scan process
US5862325A (en) * 1996-02-29 1999-01-19 Intermind Corporation Computer-based communication system and method using metadata defining a control structure
US5606874A (en) * 1996-03-18 1997-03-04 Kurt Gutmann Jewelry, Inc. Detachable jewelry ornamentation
US5673322A (en) * 1996-03-22 1997-09-30 Bell Communications Research, Inc. System and method for providing protocol translation and filtering to access the world wide web from wireless or low-bandwidth networks
US5850442A (en) 1996-03-26 1998-12-15 Entegrity Solutions Corporation Secure world wide electronic commerce over an open network
US5826022A (en) 1996-04-05 1998-10-20 Sun Microsystems, Inc. Method and apparatus for receiving electronic mail
US5727156A (en) 1996-04-10 1998-03-10 Hotoffice Technologies, Inc. Internet-based automatic publishing system
US5845084A (en) 1996-04-18 1998-12-01 Microsoft Corporation Automatic data display formatting with a networking application
US5778372A (en) 1996-04-18 1998-07-07 Microsoft Corporation Remote retrieval and display management of electronic document with incorporated images
US5864852A (en) * 1996-04-26 1999-01-26 Netscape Communications Corporation Proxy server caching mechanism that provides a file directory structure and a mapping mechanism within the file directory structure
US5793972A (en) 1996-05-03 1998-08-11 Westminster International Computers Inc. System and method providing an interactive response to direct mail by creating personalized web page based on URL provided on mail piece
US5742769A (en) 1996-05-06 1998-04-21 Banyan Systems, Inc. Directory with options for access to and display of email addresses
US5892825A (en) * 1996-05-15 1999-04-06 Hyperlock Technologies Inc Method of secure server control of local media via a trigger through a network for instant local access of encrypted data on local media
US5884033A (en) * 1996-05-15 1999-03-16 Spyglass, Inc. Internet filtering system for filtering data transferred over the internet utilizing immediate and deferred filtering actions
US5768528A (en) 1996-05-24 1998-06-16 V-Cast, Inc. Client-server system for delivery of online information
US5822526A (en) 1996-06-03 1998-10-13 Microsoft Corporation System and method for maintaining and administering email address names in a network
US5918013A (en) 1996-06-03 1999-06-29 Webtv Networks, Inc. Method of transcoding documents in a network environment using a proxy server
US5812398A (en) 1996-06-10 1998-09-22 Sun Microsystems, Inc. Method and system for escrowed backup of hotelled world wide web sites
US6108688A (en) 1996-06-12 2000-08-22 Sun Microsystems, Inc. System for reminding a sender of an email if recipient of the email does not respond by a selected time set by the sender
US6373950B1 (en) * 1996-06-17 2002-04-16 Hewlett-Packard Company System, method and article of manufacture for transmitting messages within messages utilizing an extensible, flexible architecture
US5781857A (en) 1996-06-28 1998-07-14 Motorola, Inc. Method of establishing an email monitor responsive to a wireless communications system user
US5790789A (en) 1996-08-02 1998-08-04 Suarez; Larry Method and architecture for the creation, control and deployment of services within a distributed computer environment
US6072942A (en) * 1996-09-18 2000-06-06 Secure Computing Corporation System and method of electronic mail filtering using interconnected nodes
JPH10111727A (en) 1996-10-03 1998-04-28 Toshiba Corp Information equipment having telephone function and security rearising method therefor
US6119236A (en) * 1996-10-07 2000-09-12 Shipley; Peter M. Intelligent network security device and method
US6012144A (en) * 1996-10-08 2000-01-04 Pickett; Thomas E. Transaction security method and apparatus
US5930479A (en) 1996-10-21 1999-07-27 At&T Corp Communications addressing system
JPH10154110A (en) 1996-10-24 1998-06-09 Tumbleweed Software Corp Electronic filing document delivery system
JPH1131127A (en) 1997-04-01 1999-02-02 Tumbleweed Software Corp Document delivery system
EP0907120A3 (en) 1997-10-02 2004-03-24 Tumbleweed Software Corporation Method amd apparatus for delivering documents over an electronic network
US5790790A (en) 1996-10-24 1998-08-04 Tumbleweed Software Corporation Electronic document delivery system in which notification of said electronic document is sent to a recipient thereof
US6385655B1 (en) 1996-10-24 2002-05-07 Tumbleweed Communications Corp. Method and apparatus for delivering documents over an electronic network
US6192407B1 (en) 1996-10-24 2001-02-20 Tumbleweed Communications Corp. Private, trackable URLs for directed document delivery
US6058381A (en) 1996-10-30 2000-05-02 Nelson; Theodor Holm Many-to-many payments system for network content materials
US6453345B2 (en) * 1996-11-06 2002-09-17 Datadirect Networks, Inc. Network security and surveillance system
US6167520A (en) * 1996-11-08 2000-12-26 Finjan Software, Inc. System and method for protecting a client during runtime from hostile downloadables
US5991881A (en) * 1996-11-08 1999-11-23 Harris Corporation Network surveillance system
US5796948A (en) 1996-11-12 1998-08-18 Cohen; Elliot D. Offensive message interceptor for computers
US5796942A (en) 1996-11-21 1998-08-18 Computer Associates International, Inc. Method and apparatus for automated network-wide surveillance and security breach intervention
JPH10164124A (en) 1996-12-04 1998-06-19 Canon Inc Communication device
US5968119A (en) 1996-12-09 1999-10-19 Wall Data Incorporated Method of accessing information of an SNA host computer from a client computer using a specific terminal emulation
US6285991B1 (en) 1996-12-13 2001-09-04 Visa International Service Association Secure interactive electronic account statement delivery system
DE69631695D1 (en) * 1996-12-16 2004-04-01 Samsung Electronics Co Ltd A method and apparatus for sending electronic mail messages in a local network
US5911776A (en) 1996-12-18 1999-06-15 Unisys Corporation Automatic format conversion system and publishing methodology for multi-user network
US6061722A (en) 1996-12-23 2000-05-09 T E Network, Inc. Assessing network performance without interference with normal network operations
US5898836A (en) 1997-01-14 1999-04-27 Netmind Services, Inc. Change-detection tool indicating degree and location of change of internet documents by comparison of cyclic-redundancy-check(CRC) signatures
US6119137A (en) 1997-01-30 2000-09-12 Tumbleweed Communications Corp. Distributed dynamic document conversion server
US5978799A (en) 1997-01-30 1999-11-02 Hirsch; G. Scott Search engine including query database, user profile database, information templates and email facility
US6502191B1 (en) 1997-02-14 2002-12-31 Tumbleweed Communications Corp. Method and system for binary data firewall delivery
US5896499A (en) 1997-02-21 1999-04-20 International Business Machines Corporation Embedded security processor
US6061448A (en) 1997-04-01 2000-05-09 Tumbleweed Communications Corp. Method and system for dynamic server document encryption
US6108786A (en) 1997-04-25 2000-08-22 Intel Corporation Monitor network bindings for computer security
US5958005A (en) 1997-07-17 1999-09-28 Bell Atlantic Network Services, Inc. Electronic mail security
WO1999005814A3 (en) * 1997-07-24 1999-04-22 Worldtalk Corp E-mail firewall with stored key encryption/decryption
US7127741B2 (en) 1998-11-03 2006-10-24 Tumbleweed Communications Corp. Method and system for e-mail message transmission
US7162738B2 (en) * 1998-11-03 2007-01-09 Tumbleweed Communications Corp. E-mail firewall with stored key encryption/decryption
US7117358B2 (en) 1997-07-24 2006-10-03 Tumbleweed Communications Corp. Method and system for filtering communication
US6119230A (en) 1997-10-01 2000-09-12 Novell, Inc. Distributed dynamic security capabilities
US6393568B1 (en) * 1997-10-23 2002-05-21 Entrust Technologies Limited Encryption and decryption system and method with content analysis provision
US6003027A (en) 1997-11-21 1999-12-14 International Business Machines Corporation System and method for determining confidence levels for the results of a categorization system
US5860068A (en) * 1997-12-04 1999-01-12 Petabyte Corporation Method and system for custom manufacture and delivery of a data product
US6202157B1 (en) * 1997-12-08 2001-03-13 Entrust Technologies Limited Computer network security system and method having unilateral enforceable security policy provision
US6023723A (en) * 1997-12-22 2000-02-08 Accepted Marketing, Inc. Method and system for filtering unwanted junk e-mail utilizing a plurality of filtering mechanisms
US6052709A (en) 1997-12-23 2000-04-18 Bright Light Technologies, Inc. Apparatus and method for controlling delivery of unsolicited electronic mail
US6279133B1 (en) * 1997-12-31 2001-08-21 Kawasaki Steel Corporation Method and apparatus for significantly improving the reliability of multilevel memory architecture
US6088804A (en) 1998-01-12 2000-07-11 Motorola, Inc. Adaptive system and method for responding to computer network security attacks
US5999932A (en) 1998-01-13 1999-12-07 Bright Light Technologies, Inc. System and method for filtering unsolicited electronic mail messages using data matching and heuristic processing
CA2228687A1 (en) * 1998-02-04 1999-08-04 Gabor Solymar Secured virtual private networks
US20030023695A1 (en) * 1999-02-26 2003-01-30 Atabok Japan, Inc. Modifying an electronic mail system to produce a secure delivery system
US6279113B1 (en) * 1998-03-16 2001-08-21 Internet Tools, Inc. Dynamic signature inspection-based network intrusion detection
US6092114A (en) 1998-04-17 2000-07-18 Siemens Information And Communication Networks, Inc. Method and system for determining the location for performing file-format conversions of electronics message attachments
US6145083A (en) 1998-04-23 2000-11-07 Siemens Information And Communication Networks, Inc. Methods and system for providing data and telephony security
US6104500A (en) 1998-04-29 2000-08-15 Bcl, Computer Inc. Networked fax routing via email
US6298445B1 (en) 1998-04-30 2001-10-02 Netect, Ltd. Computer security
JP3017712B2 (en) 1998-05-15 2000-03-13 松下電送システム株式会社 Internet facsimile
US6058482A (en) 1998-05-22 2000-05-02 Sun Microsystems, Inc. Apparatus, method and system for providing network security for executable code in computer and communications networks
US6330589B1 (en) 1998-05-26 2001-12-11 Microsoft Corporation System and method for using a client database to manage conversation threads generated from email or news messages
US6289214B1 (en) 1998-05-29 2001-09-11 Ericsson Inc. Systems and methods for deactivating a cellular radiotelephone system using an ANSI-41 short message service email
US6347374B1 (en) * 1998-06-05 2002-02-12 Intrusion.Com, Inc. Event detection
WO1999066383A3 (en) * 1998-06-15 2000-06-22 Dmw Worldwide Inc Method and apparatus for assessing the security of a computer system
US6317829B1 (en) 1998-06-19 2001-11-13 Entrust Technologies Limited Public key cryptography based security system to facilitate secure roaming of users
US6185689B1 (en) * 1998-06-24 2001-02-06 Richard S. Carson & Assoc., Inc. Method for network self security assessment
US6141778A (en) 1998-06-29 2000-10-31 Mci Communications Corporation Method and apparatus for automating security functions in a computer system
US6324656B1 (en) * 1998-06-30 2001-11-27 Cisco Technology, Inc. System and method for rules-driven multi-phase network vulnerability assessment
US6269447B1 (en) * 1998-07-21 2001-07-31 Raytheon Company Information security analysis system
US6151675A (en) * 1998-07-23 2000-11-21 Tumbleweed Software Corporation Method and apparatus for effecting secure document format conversion
US6273590B1 (en) * 1998-07-30 2001-08-14 Stingray Lighting, Inc. Dual reflector lighting system
US6223213B1 (en) * 1998-07-31 2001-04-24 Webtv Networks, Inc. Browser-based email system with user interface for audio/video capture
US6304973B1 (en) 1998-08-06 2001-10-16 Cryptek Secure Communications, Llc Multi-level security network system
US6442588B1 (en) * 1998-08-20 2002-08-27 At&T Corp. Method of administering a dynamic filtering firewall
US6324569B1 (en) 1998-09-23 2001-11-27 John W. L. Ogilvie Self-removing email verified or designated as such by a message distributor for the convenience of a recipient
US6460141B1 (en) * 1998-10-28 2002-10-01 Rsa Security Inc. Security and access management system for web-enabled and non-web-enabled applications and content on a computer network
JP2000148276A (en) 1998-11-05 2000-05-26 Fujitsu Ltd Device and method for monitoring security and securithy monitoring program recording medium
US6260043B1 (en) 1998-11-06 2001-07-10 Microsoft Corporation Automatic file format converter
US6321338B1 (en) * 1998-11-09 2001-11-20 Sri International Network surveillance
US6249807B1 (en) 1998-11-17 2001-06-19 Kana Communications, Inc. Method and apparatus for performing enterprise email management
US6282565B1 (en) 1998-11-17 2001-08-28 Kana Communications, Inc. Method and apparatus for performing enterprise email management
US6272532B1 (en) 1998-12-02 2001-08-07 Harold F. Feinleib Electronic reminder system with universal email input
US6370648B1 (en) * 1998-12-08 2002-04-09 Visa International Service Association Computer network intrusion detection
DE19857182A1 (en) * 1998-12-11 2000-06-15 Alcatel Sa Telecommunications network with virus protection in signaling channels
US6249575B1 (en) 1998-12-11 2001-06-19 Securelogix Corporation Telephony security system
US6574737B1 (en) 1998-12-23 2003-06-03 Symantec Corporation System for penetrating computer or computer network
US6118856A (en) 1998-12-28 2000-09-12 Nortel Networks Corporation Method and apparatus for automatically forwarding an email message or portion thereof to a remote device
US6301668B1 (en) 1998-12-29 2001-10-09 Cisco Technology, Inc. Method and system for adaptive network security using network vulnerability assessment
WO2000042748A1 (en) 1999-01-14 2000-07-20 Tumbleweed Communications Corp. Web-based delivery of secure e-mail messages
US20010012286A1 (en) * 1999-01-29 2001-08-09 Emmanuel L. Huna Method and apparatus for computer alert of device independent messages
US6405318B1 (en) 1999-03-12 2002-06-11 Psionic Software, Inc. Intrusion detection system
US6681331B1 (en) * 1999-05-11 2004-01-20 Cylant, Inc. Dynamic software system intrusion detection
US6578025B1 (en) * 1999-06-11 2003-06-10 Abuzz Technologies, Inc. Method and apparatus for distributing information to users
US6910135B1 (en) * 1999-07-07 2005-06-21 Verizon Corporate Services Group Inc. Method and apparatus for an intruder detection reporting and response system
JP2001028006A (en) * 1999-07-15 2001-01-30 Kdd Corp Method and device for automatic information filtering
US6430604B1 (en) * 1999-08-03 2002-08-06 International Business Machines Corporation Technique for enabling messaging systems to use alternative message delivery mechanisms
US6725381B1 (en) 1999-08-31 2004-04-20 Tumbleweed Communications Corp. Solicited authentication of a specific user
US6324647B1 (en) * 1999-08-31 2001-11-27 Michel K. Bowman-Amuah System, method and article of manufacture for security management in a development architecture framework
US6304898B1 (en) 1999-10-13 2001-10-16 Datahouse, Inc. Method and system for creating and sending graphical email
US7363361B2 (en) * 2000-08-18 2008-04-22 Akamai Technologies, Inc. Secure content delivery system
US6321267B1 (en) 1999-11-23 2001-11-20 Escom Corporation Method and apparatus for filtering junk email
US6363489B1 (en) * 1999-11-29 2002-03-26 Forescout Technologies Inc. Method for automatic intrusion detection and deflection in a network
US6343290B1 (en) 1999-12-22 2002-01-29 Celeritas Technologies, L.L.C. Geographic network management system
US6775657B1 (en) * 1999-12-22 2004-08-10 Cisco Technology, Inc. Multilayered intrusion detection system and method
WO2001050691A3 (en) 1999-12-30 2001-12-13 Tumbleweed Comm Corp Sender-controlled post delivery handling of digitally delivered documents in a computer network
WO2001052485A1 (en) * 2000-01-16 2001-07-19 Eluv Holdings Ltd. Method and system for delivering secure e-mail
US20020016910A1 (en) * 2000-02-11 2002-02-07 Wright Robert P. Method for secure distribution of documents over electronic networks
US7159237B2 (en) 2000-03-16 2007-01-02 Counterpane Internet Security, Inc. Method and system for dynamic network intrusion monitoring, detection and response
US6826609B1 (en) 2000-03-31 2004-11-30 Tumbleweed Communications Corp. Policy enforcement in a secure data file delivery system
US6519703B1 (en) * 2000-04-14 2003-02-11 James B. Joyce Methods and apparatus for heuristic firewall
WO2001084285A3 (en) 2000-04-28 2002-06-13 Internet Security Systems Inc Method and system for managing computer security information
US6742124B1 (en) 2000-05-08 2004-05-25 Networks Associates Technology, Inc. Sequence-based anomaly detection using a distance matrix
WO2001089174A3 (en) 2000-05-16 2002-04-25 American Online Inc E-mail sender identification
US7478077B2 (en) * 2000-05-17 2009-01-13 New York University Method and system for data classification in the presence of a temporal non-stationarity
US20030159070A1 (en) 2001-05-28 2003-08-21 Yaron Mayer System and method for comprehensive general generic protection for computers against malicious programs that may steal information and/or cause damages
JP2002056176A (en) 2000-06-01 2002-02-20 Asgent Inc Method and device for structuring security policy and method and device for supporting security policy structuring
US6895385B1 (en) 2000-06-02 2005-05-17 Open Ratings Method and system for ascribing a reputation to an entity as a rater of other entities
US6892179B1 (en) 2000-06-02 2005-05-10 Open Ratings Inc. System and method for ascribing a reputation to an entity
US6892178B1 (en) 2000-06-02 2005-05-10 Open Ratings Inc. Method and system for ascribing a reputation to an entity from the perspective of another entity
US20020023140A1 (en) * 2000-06-08 2002-02-21 Hile John K. Electronic document delivery system
US20030061506A1 (en) * 2001-04-05 2003-03-27 Geoffrey Cooper System and method for security policy
US20020046041A1 (en) 2000-06-23 2002-04-18 Ken Lang Automated reputation/trust service
US7032031B2 (en) * 2000-06-23 2006-04-18 Cloudshield Technologies, Inc. Edge adapter apparatus and method
DE60110792T2 (en) 2000-06-30 2006-02-23 British Telecommunications P.L.C. The packet communication system
US6988199B2 (en) * 2000-07-07 2006-01-17 Message Secure Secure and reliable document delivery
US8661539B2 (en) 2000-07-10 2014-02-25 Oracle International Corporation Intrusion threat detection
US6772196B1 (en) 2000-07-27 2004-08-03 Propel Software Corp. Electronic mail filtering system and methods
US6880156B1 (en) 2000-07-27 2005-04-12 Hewlett-Packard Development Company. L.P. Demand responsive method and apparatus to automatically activate spare servers
WO2002013489A3 (en) 2000-08-08 2003-01-09 Jean-Christophe Bandini Recipient-specified automated processing in a secure data file delivery system
WO2002013469A3 (en) 2000-08-08 2002-09-06 Tumbleweed Comm Corp Recipient-specified automated processing in a secure data file delivery system
US20020049853A1 (en) * 2000-08-16 2002-04-25 Tan-Na Chu End-to-end secure file transfer method and system
US20020032871A1 (en) 2000-09-08 2002-03-14 The Regents Of The University Of Michigan Method and system for detecting, tracking and blocking denial of service attacks over a computer network
US6968461B1 (en) * 2000-10-03 2005-11-22 Networks Associates Technology, Inc. Providing break points in a malware scanning operation
US20030097439A1 (en) * 2000-10-23 2003-05-22 Strayer William Timothy Systems and methods for identifying anomalies in network data streams
US20020078382A1 (en) 2000-11-29 2002-06-20 Ali Sheikh Scalable system for monitoring network system and components and methodology therefore
DE60124295D1 (en) * 2000-11-30 2006-12-14 Lancope Inc Flow-based intrusion detection in a network
CA2327211A1 (en) 2000-12-01 2002-06-01 Nortel Networks Limited Management of log archival and reporting for data network security systems
RU2272068C2 (en) * 2000-12-19 2006-03-20 Шелл Интернэшнл Рисерч Маатсхаппий Б.В. Method of producing spindle oil, light machine oil, and median machine oil from residual fractions of fuel hydrocracking process
EP1352354A2 (en) * 2001-01-02 2003-10-15 Trusecure Corporation Object-oriented method, system and medium for risk management
US7168093B2 (en) * 2001-01-25 2007-01-23 Solutionary, Inc. Method and apparatus for verifying the integrity and security of computer networks and implementation of counter measures
US7092992B1 (en) 2001-02-01 2006-08-15 Mailshell.Com, Inc. Web page filtering including substitution of user-entered email address
US6983380B2 (en) 2001-02-06 2006-01-03 Networks Associates Technology, Inc. Automatically generating valid behavior specifications for intrusion detection
US7281267B2 (en) 2001-02-20 2007-10-09 Mcafee, Inc. Software audit system
US20020120853A1 (en) 2001-02-27 2002-08-29 Networks Associates Technology, Inc. Scripted distributed denial-of-service (DDoS) attack discrimination using turing tests
US20020143963A1 (en) 2001-03-15 2002-10-03 International Business Machines Corporation Web server intrusion detection method and apparatus
US7313822B2 (en) 2001-03-16 2007-12-25 Protegrity Corporation Application-layer security method and system
US7882555B2 (en) * 2001-03-16 2011-02-01 Kavado, Inc. Application layer security method and system
US20020133365A1 (en) 2001-03-19 2002-09-19 William Grey System and method for aggregating reputational information
US20020138759A1 (en) * 2001-03-26 2002-09-26 International Business Machines Corporation System and method for secure delivery of a parcel or document
US20020147734A1 (en) 2001-04-06 2002-10-10 Shoup Randall Scott Archiving method and system
CN101567889B (en) 2001-04-13 2014-01-08 诺基亚公司 System and method for providing protection for networks
US7603709B2 (en) * 2001-05-03 2009-10-13 Computer Associates Think, Inc. Method and apparatus for predicting and preventing attacks in communications networks
US7769845B2 (en) 2001-05-04 2010-08-03 Whale Communications Ltd Method and system for terminating an authentication session upon user sign-off
CA2386491A1 (en) * 2001-05-16 2002-11-16 Kasten Chase Applied Research Limited System for secure electronic information transmission
US7325252B2 (en) 2001-05-18 2008-01-29 Achilles Guard Inc. Network security testing
US20030028803A1 (en) 2001-05-18 2003-02-06 Bunker Nelson Waldo Network vulnerability assessment system and method
US20020178227A1 (en) 2001-05-25 2002-11-28 International Business Machines Corporation Routing instant messages using configurable, pluggable delivery managers
US7458094B2 (en) 2001-06-06 2008-11-25 Science Applications International Corporation Intrusion prevention system
US7350234B2 (en) * 2001-06-11 2008-03-25 Research Triangle Institute Intrusion tolerant communication networks and associated methods
WO2002101605A3 (en) 2001-06-12 2003-03-06 Research In Motion Ltd System and method for compressing secure e-mail for exchange with a mobile data communication device
US7308715B2 (en) * 2001-06-13 2007-12-11 Mcafee, Inc. Protocol-parsing state machine and method of using same
DE60135449D1 (en) 2001-06-14 2008-10-02 Ibm Eindringsdetektion in data processing systems
FR2826543B1 (en) * 2001-06-22 2003-09-12 Framatome Connectors Int Process for manufacture in large series of retaining plates of electrical components connecting pins
US20030005326A1 (en) * 2001-06-29 2003-01-02 Todd Flemming Method and system for implementing a security application services provider
DE60220214T2 (en) * 2001-06-29 2008-01-24 Stonesoft Corp. Method and system for detecting intruders
US6928549B2 (en) * 2001-07-09 2005-08-09 International Business Machines Corporation Dynamic intrusion detection for computer systems
US7356689B2 (en) * 2001-07-09 2008-04-08 Lucent Technologies Inc. Method and apparatus for tracing packets in a communications network
US7380279B2 (en) * 2001-07-16 2008-05-27 Lenel Systems International, Inc. System for integrating security and access for facilities and information systems
US6783791B2 (en) * 2001-08-01 2004-08-31 The Procter & Gamble Co. Coffee compositions comprising processed coffee grounds
US7243374B2 (en) * 2001-08-08 2007-07-10 Microsoft Corporation Rapid application security threat analysis
US7278160B2 (en) * 2001-08-16 2007-10-02 International Business Machines Corporation Presentation of correlated events as situation classes
US7657935B2 (en) 2001-08-16 2010-02-02 The Trustees Of Columbia University In The City Of New York System and methods for detecting malicious email transmission
US20030051163A1 (en) * 2001-09-13 2003-03-13 Olivier Bidaud Distributed network architecture security system
US20030055931A1 (en) * 2001-09-18 2003-03-20 Cravo De Almeida Marcio Managing a remote device
US7100208B2 (en) * 2001-09-25 2006-08-29 Siemens Communications, Inc. Method and apparatus for source-based message authorization and rejection
US20030065943A1 (en) * 2001-09-28 2003-04-03 Christoph Geis Method and apparatus for recognizing and reacting to denial of service attacks on a computerized network
US6907430B2 (en) * 2001-10-04 2005-06-14 Booz-Allen Hamilton, Inc. Method and system for assessing attacks on computer networks using Bayesian networks
US8261059B2 (en) * 2001-10-25 2012-09-04 Verizon Business Global Llc Secure file transfer and secure file transfer protocol
US20030084323A1 (en) 2001-10-31 2003-05-01 Gales George S. Network intrusion detection system and method
US20030135749A1 (en) 2001-10-31 2003-07-17 Gales George S. System and method of defining the security vulnerabilities of a computer system
US7444679B2 (en) 2001-10-31 2008-10-28 Hewlett-Packard Development Company, L.P. Network, method and computer readable medium for distributing security updates to select nodes on a network
JP2003150748A (en) 2001-11-09 2003-05-23 Asgent Inc Risk evaluation method
US20030093695A1 (en) * 2001-11-13 2003-05-15 Santanu Dutta Secure handling of stored-value data objects
US7315944B2 (en) * 2001-11-13 2008-01-01 Ericsson Inc. Secure handling of stored-value data objects
US20030126464A1 (en) 2001-12-04 2003-07-03 Mcdaniel Patrick D. Method and system for determining and enforcing security policy in a communication session
US20030110392A1 (en) 2001-12-06 2003-06-12 Aucsmith David W. Detecting intrusions
US7328349B2 (en) 2001-12-14 2008-02-05 Bbn Technologies Corp. Hash-based systems and methods for detecting, preventing, and tracing network worms and viruses
KR100427449B1 (en) 2001-12-14 2004-04-14 한국전자통신연구원 Intrusion detection method using adaptive rule estimation in nids
US7400729B2 (en) * 2001-12-28 2008-07-15 Intel Corporation Secure delivery of encrypted digital content
US7000247B2 (en) 2001-12-31 2006-02-14 Citadel Security Software, Inc. Automated computer vulnerability resolution system
JP4152108B2 (en) 2002-01-18 2008-09-17 株式会社コムスクエア Vulnerability monitoring method and system
US7076803B2 (en) 2002-01-28 2006-07-11 International Business Machines Corporation Integrated intrusion detection services
US7222366B2 (en) * 2002-01-28 2007-05-22 International Business Machines Corporation Intrusion event filtering
US7268899B2 (en) * 2002-01-31 2007-09-11 Hewlett-Packard Development Company, L.P. Secure system for delivery of a fax to a remote user
US7174566B2 (en) 2002-02-01 2007-02-06 Intel Corporation Integrated network intrusion detection
US20030149887A1 (en) 2002-02-01 2003-08-07 Satyendra Yadav Application-specific network intrusion detection
US7287280B2 (en) 2002-02-12 2007-10-23 Goldman Sachs & Co. Automated security management
US7073074B2 (en) 2002-02-13 2006-07-04 Microsoft Corporation System and method for storing events to enhance intrusion detection
KR100468232B1 (en) 2002-02-19 2005-01-26 한국전자통신연구원 Network-based Attack Tracing System and Method Using Distributed Agent and Manager Systems
US7124438B2 (en) 2002-03-08 2006-10-17 Ciphertrust, Inc. Systems and methods for anomaly detection in patterns of monitored communications
US7096498B2 (en) 2002-03-08 2006-08-22 Cipher Trust, Inc. Systems and methods for message threat management
US8561167B2 (en) 2002-03-08 2013-10-15 Mcafee, Inc. Web reputation scoring
US7458098B2 (en) 2002-03-08 2008-11-25 Secure Computing Corporation Systems and methods for enhancing electronic communication security
US20060015942A1 (en) 2002-03-08 2006-01-19 Ciphertrust, Inc. Systems and methods for classification of messaging entities
US7694128B2 (en) * 2002-03-08 2010-04-06 Mcafee, Inc. Systems and methods for secure communication delivery
US20030233328A1 (en) 2002-04-23 2003-12-18 Scott David A. Method and system for securely communicating data in a communications network
JP3831696B2 (en) 2002-09-20 2006-10-11 株式会社日立製作所 Network management apparatus and method of network management
US7200658B2 (en) 2002-11-12 2007-04-03 Movielink, Llc Network geo-location system
US7467206B2 (en) 2002-12-23 2008-12-16 Microsoft Corporation Reputation system for web services
US20040128355A1 (en) * 2002-12-25 2004-07-01 Kuo-Jen Chao Community-based message classification and self-amending system for a messaging system
US8266215B2 (en) * 2003-02-20 2012-09-11 Sonicwall, Inc. Using distinguishing properties to classify messages
US20040177120A1 (en) 2003-03-07 2004-09-09 Kirsch Steven T. Method for filtering e-mail messages
EP1604293A2 (en) 2003-03-07 2005-12-14 Propel Software Corporation Method for filtering e-mail messages
US7676546B2 (en) 2003-03-25 2010-03-09 Verisign, Inc. Control and management of electronic messaging
GB0307913D0 (en) 2003-04-05 2003-05-14 Hewlett Packard Development Co Management of peer-to-peer network using reputation services
US7051077B2 (en) 2003-06-30 2006-05-23 Mx Logic, Inc. Fuzzy logic voting method and system for classifying e-mail using inputs from multiple spam classifiers
US7769594B2 (en) 2003-09-05 2010-08-03 France Telecom Evaluation of reputation of an entity by a primary evaluation centre
US20050102366A1 (en) 2003-11-07 2005-05-12 Kirsch Steven T. E-mail filter employing adaptive ruleset
US8918466B2 (en) 2004-03-09 2014-12-23 Tonny Yu System for email processing and analysis
US7644127B2 (en) 2004-03-09 2010-01-05 Gozoom.Com, Inc. Email analysis using fuzzy matching of text
JP4829223B2 (en) 2004-05-25 2011-12-07 グーグル インコーポレイテッド Electronic message source reputation information system
US7660865B2 (en) 2004-08-12 2010-02-09 Microsoft Corporation Spam filtering with probabilistic secure hashes
US7933985B2 (en) 2004-08-13 2011-04-26 Sipera Systems, Inc. System and method for detecting and preventing denial of service attacks in a communications system
US8010460B2 (en) 2004-09-02 2011-08-30 Linkedin Corporation Method and system for reputation evaluation of online users in a social networking scheme
US20060095404A1 (en) 2004-10-29 2006-05-04 The Go Daddy Group, Inc Presenting search engine results based on domain name related reputation
US20060123083A1 (en) 2004-12-03 2006-06-08 Xerox Corporation Adaptive spam message detector
US7610344B2 (en) 2004-12-13 2009-10-27 Microsoft Corporation Sender reputations for spam prevention
US20060230039A1 (en) * 2005-01-25 2006-10-12 Markmonitor, Inc. Online identity tracking
EP1856639A2 (en) * 2005-03-02 2007-11-21 Markmonitor, Inc. Distribution of trust data
US7822620B2 (en) 2005-05-03 2010-10-26 Mcafee, Inc. Determining website reputations using automatic testing
US20060277259A1 (en) 2005-06-07 2006-12-07 Microsoft Corporation Distributed sender reputations
JP2006350870A (en) 2005-06-17 2006-12-28 Nippon Telegr & Teleph Corp <Ntt> Method for generating reputation information, device for managing reputation information, receipt device, communication system, and program for managing reputation informaiton
KR100651841B1 (en) 2005-07-19 2006-11-23 엘지전자 주식회사 Reception blocking method
US20080005223A1 (en) 2006-06-28 2008-01-03 Microsoft Corporation Reputation data for entities and data processing
US20090125980A1 (en) 2007-11-09 2009-05-14 Secure Computing Corporation Network rating

Patent Citations (100)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US138416A (en) * 1873-04-29 Improvement in atomizer-bulbs
US4289930A (en) * 1978-11-30 1981-09-15 The General Electric Company Limited Electronic apparatus for the display of information received over a line
US4386416A (en) * 1980-06-02 1983-05-31 Mostek Corporation Data compression, encryption, and in-line transmission system
US4384325A (en) * 1980-06-23 1983-05-17 Sperry Corporation Apparatus and method for searching a data base using variable search criteria
US4532588A (en) * 1982-11-09 1985-07-30 International Business Machines Corporation Electronic document distribution network with uniform data stream
US4754428A (en) * 1985-04-15 1988-06-28 Express Communications, Inc. Apparatus and method of distributing documents to remote terminals with different formats
US4713780A (en) * 1985-04-15 1987-12-15 Express Communications, Inc. Electronic mail
US4837798A (en) * 1986-06-02 1989-06-06 American Telephone And Telegraph Company Communication system having unified messaging
US4864573A (en) * 1986-09-25 1989-09-05 Robert Bosch Gmbh Apparatus for reproducing a pcm modulated signal, comprising a muting circuit
US5051886A (en) * 1987-06-15 1991-09-24 Hitachi, Ltd. System for character stream search using finite state automaton technique
US4979210A (en) * 1987-07-08 1990-12-18 Matsushita Electric Industrial Co., Ltd. Method and apparatus for protection of signal copy
US4853961A (en) * 1987-12-18 1989-08-01 Pitney Bowes Inc. Reliable document authentication system
US4951196A (en) * 1988-05-04 1990-08-21 Supply Tech, Inc. Method and apparatus for electronic data interchange
US5008814A (en) * 1988-08-15 1991-04-16 Network Equipment Technologies, Inc. Method and apparatus for updating system software for a plurality of data processing units in a communication network
US5144660A (en) * 1988-08-31 1992-09-01 Rose Anthony M Securing a computer against undesired write operations to or read operations from a mass storage device
US5054096A (en) * 1988-10-24 1991-10-01 Empire Blue Cross/Blue Shield Method and apparatus for converting documents into electronic data for transaction processing
US4975950A (en) * 1988-11-03 1990-12-04 Lentz Stephen A System and method of protecting integrity of computer data and software
US5167011A (en) * 1989-02-15 1992-11-24 W. H. Morris Method for coodinating information storage and retrieval
US5210824A (en) * 1989-03-03 1993-05-11 Xerox Corporation Encoding-format-desensitized methods and means for interchanging electronic document as appearances
US5020059A (en) * 1989-03-31 1991-05-28 At&T Bell Laboratories Reconfigurable signal processor
US5144659A (en) * 1989-04-19 1992-09-01 Richard P. Jones Computer file protection system
US5119465A (en) * 1989-06-19 1992-06-02 Digital Equipment Corporation System for selectively converting plurality of source data structures through corresponding source intermediate structures, and target intermediate structures into selected target structure
US5105184A (en) * 1989-11-09 1992-04-14 Noorali Pirani Methods for displaying and integrating commercial advertisements with computer software
US5105184B1 (en) * 1989-11-09 1997-06-17 Noorali Pirani Methods for displaying and integrating commercial advertisements with computer software
US5355472A (en) * 1990-04-10 1994-10-11 International Business Machines Corporation System for substituting tags for non-editable data sets in hypertext documents and updating web files containing links between data sets corresponding to changes made to the tags
US5319776A (en) * 1990-04-19 1994-06-07 Hilgraeve Corporation In transit detection of computer virus with safeguard
US5210825A (en) * 1990-04-26 1993-05-11 Teknekron Communications Systems, Inc. Method and an apparatus for displaying graphical data received from a remote computer by a local computer
US5144557A (en) * 1990-08-13 1992-09-01 International Business Machines Corporation Method and system for document distribution by reference to a first group and particular document to a second group of user in a data processing system
US5276869A (en) * 1990-09-10 1994-01-04 International Business Machines Corporation System for selecting document recipients as determined by technical content of document and for electronically corroborating receipt of document
US5247661A (en) * 1990-09-10 1993-09-21 International Business Machines Corporation Method and apparatus for automated document distribution in a data processing system
US5239466A (en) * 1990-10-04 1993-08-24 Motorola, Inc. System for selectively routing and merging independent annotations to a document at remote locations
US5283887A (en) * 1990-12-19 1994-02-01 Bull Hn Information Systems Inc. Automatic document format conversion in an electronic mail system based upon user preference
US5293250A (en) * 1991-03-14 1994-03-08 Hitachi, Ltd. A system for notifying a destination terminal that electronic mail has reached a host computer
US5367621A (en) * 1991-09-06 1994-11-22 International Business Machines Corporation Data processing method to provide a generalized link from a reference point in an on-line book to an arbitrary multimedia object which can be dynamically updated
US5313521A (en) * 1992-04-15 1994-05-17 Fujitsu Limited Key distribution protocol for file transfer in the local area network
US5278901A (en) * 1992-04-30 1994-01-11 International Business Machines Corporation Pattern-oriented intrusion-detection system and method
US5235642A (en) * 1992-07-21 1993-08-10 Digital Equipment Corporation Access control subsystem and method for distributed computer system using locally cached authentication credentials
US5696822A (en) * 1995-09-28 1997-12-09 Symantec Corporation Polymorphic virus detection module
US5826013A (en) * 1995-09-28 1998-10-20 Symantec Corporation Polymorphic virus detection module
US6539430B1 (en) * 1997-03-25 2003-03-25 Symantec Corporation System and method for filtering data received by a computer system
US6006329A (en) * 1997-08-11 1999-12-21 Symantec Corporation Detection of computer viruses spanning multiple data streams
US6199102B1 (en) * 1997-08-26 2001-03-06 Christopher Alan Cobb Method and system for filtering electronic messages
US6094731A (en) * 1997-11-24 2000-07-25 Symantec Corporation Antivirus accelerator for computer networks
US6393465B2 (en) * 1997-11-25 2002-05-21 Nixmail Corporation Junk electronic mail detector and eliminator
US6029256A (en) * 1997-12-31 2000-02-22 Network Associates, Inc. Method and system for allowing computer programs easy access to features of a virus scanning engine
US6035423A (en) * 1997-12-31 2000-03-07 Network Associates, Inc. Method and system for providing automated updating and upgrading of antivirus applications using a computer network
US6269456B1 (en) * 1997-12-31 2001-07-31 Network Associates, Inc. Method and system for providing automated updating and upgrading of antivirus applications using a computer network
US6275942B1 (en) * 1998-05-20 2001-08-14 Network Associates, Inc. System, method and computer program product for automatic response to computer system misuse using active response modules
US6161130A (en) * 1998-06-23 2000-12-12 Microsoft Corporation Technique which utilizes a probabilistic classifier to detect "junk" e-mail by automatically updating a training and re-training the classifier based on the updated training set
US6442686B1 (en) * 1998-07-02 2002-08-27 Networks Associates Technology, Inc. System and methodology for messaging server-based management and enforcement of crypto policies
US6711127B1 (en) * 1998-07-31 2004-03-23 General Dynamics Government Systems Corporation System for intrusion detection and vulnerability analysis in a telecommunications signaling network
US6546416B1 (en) * 1998-12-09 2003-04-08 Infoseek Corporation Method and system for selectively blocking delivery of bulk electronic mail
US6550012B1 (en) * 1998-12-11 2003-04-15 Network Associates, Inc. Active firewall system and methodology
US6654787B1 (en) * 1998-12-31 2003-11-25 Brightmail, Incorporated Method and apparatus for filtering e-mail
US6792546B1 (en) * 1999-01-15 2004-09-14 Cisco Technology, Inc. Intrusion detection signature analysis using regular expressions and logical operators
US6725377B1 (en) * 1999-03-12 2004-04-20 Networks Associates Technology, Inc. Method and system for updating anti-intrusion software
US6675153B1 (en) * 1999-07-06 2004-01-06 Zix Corporation Transaction authorization system
US6697950B1 (en) * 1999-12-22 2004-02-24 Networks Associates Technology, Inc. Method and apparatus for detecting a macro computer virus using static analysis
US6701440B1 (en) * 2000-01-06 2004-03-02 Networks Associates Technology, Inc. Method and system for protecting a computer using a remote e-mail scanning device
US6892237B1 (en) * 2000-03-28 2005-05-10 Cisco Technology, Inc. Method and apparatus for high-speed parsing of network messages
US6735703B1 (en) * 2000-05-08 2004-05-11 Networks Associates Technology, Inc. Multi-platform sequence-based anomaly detection wrapper
US6732101B1 (en) * 2000-06-15 2004-05-04 Zix Corporation Secure message forwarding system detecting user's preferences including security preferences
US6738462B1 (en) * 2000-07-19 2004-05-18 Avaya Technology Corp. Unified communications automated personal name addressing
US6687687B1 (en) * 2000-07-26 2004-02-03 Zix Scm, Inc. Dynamic indexing information retrieval or filtering system
US20020035683A1 (en) * 2000-09-07 2002-03-21 Kaashoek Marinus Frans Architecture to thwart denial of service attacks
US7278159B2 (en) * 2000-09-07 2007-10-02 Mazu Networks, Inc. Coordinated thwarting of denial of service attacks
US20040058673A1 (en) * 2000-09-29 2004-03-25 Postini, Inc. Value-added electronic messaging services and transparent implementation thereof using intermediate server
US6650890B1 (en) * 2000-09-29 2003-11-18 Postini, Inc. Value-added electronic messaging services and transparent implementation thereof using intermediate server
US6757830B1 (en) * 2000-10-03 2004-06-29 Networks Associates Technology, Inc. Detecting unwanted properties in received email messages
US20040139334A1 (en) * 2001-01-13 2004-07-15 Wiseman Simon Robert Computer system protection
US20030051026A1 (en) * 2001-01-19 2003-03-13 Carter Ernst B. Network surveillance and security system
US20030088792A1 (en) * 2001-04-13 2003-05-08 Nokia, Inc. System and method for providing exploit protection with message tracking
US6768991B2 (en) * 2001-05-15 2004-07-27 Networks Associates Technology, Inc. Searching for sequences of character data
US7076527B2 (en) * 2001-06-14 2006-07-11 Apple Computer, Inc. Method and apparatus for filtering email
US20030023875A1 (en) * 2001-07-26 2003-01-30 Hursey Neil John Detecting e-mail propagated malware
US7209954B1 (en) * 2001-07-26 2007-04-24 Mcafee, Inc. System and method for intelligent SPAM detection using statistical analysis
US6769016B2 (en) * 2001-07-26 2004-07-27 Networks Associates Technology, Inc. Intelligent SPAM detection system using an updateable neural analysis engine
US20030023692A1 (en) * 2001-07-27 2003-01-30 Fujitsu Limited Electronic message delivery system, electronic message delivery managment server, and recording medium in which electronic message delivery management program is recorded
US20030051168A1 (en) * 2001-08-10 2003-03-13 King James E. Virus detection
US6928556B2 (en) * 2001-08-30 2005-08-09 International Business Machines Corporation Method and apparatus in a data processing system for managing situations from correlated events
US20030095555A1 (en) * 2001-11-16 2003-05-22 Mcnamara Justin System for the validation and routing of messages
US20030187996A1 (en) * 2001-11-16 2003-10-02 Cardina Donald M. Methods and systems for routing messages through a communications network based on message content
US6546493B1 (en) * 2001-11-30 2003-04-08 Networks Associates Technology, Inc. System, method and computer program product for risk assessment scanning based on detected anomalous events
US20040088570A1 (en) * 2001-12-21 2004-05-06 Roberts Guy William Welch Predictive malware scanning of internet data
US20030140137A1 (en) * 2001-12-21 2003-07-24 Networks Associates Technology, Inc Enterprise Network analyzer architecture framework
US6754705B2 (en) * 2001-12-21 2004-06-22 Networks Associates Technology, Inc. Enterprise network analyzer architecture framework
US20030154399A1 (en) * 2002-02-08 2003-08-14 Nir Zuk Multi-method gateway-based network security systems and methods
US20030158905A1 (en) * 2002-02-19 2003-08-21 Postini Corporation E-mail management services
US6941467B2 (en) * 2002-03-08 2005-09-06 Ciphertrust, Inc. Systems and methods for adaptive message interrogation through multiple queues
US20030212791A1 (en) * 2002-04-23 2003-11-13 Pickup Robert Barkley Method and system for authorising electronic mail
US20040203589A1 (en) * 2002-07-11 2004-10-14 Wang Jiwei R. Method and system for controlling messages in a communication network
US20040015554A1 (en) * 2002-07-16 2004-01-22 Brian Wilson Active e-mail filter with challenge-response
US20040025044A1 (en) * 2002-07-30 2004-02-05 Day Christopher W. Intrusion detection system
US6742128B1 (en) * 2002-08-28 2004-05-25 Networks Associates Technology Threat assessment orchestrator system and method
US7254608B2 (en) * 2002-10-31 2007-08-07 Sun Microsystems, Inc. Managing distribution of content using mobile agents in peer-topeer networks
US20040111531A1 (en) * 2002-12-06 2004-06-10 Stuart Staniford Method and system for reducing the rate of infection of a communications network by a software worm
US6732157B1 (en) * 2002-12-13 2004-05-04 Networks Associates Technology, Inc. Comprehensive anti-spam system, method, and computer program product for filtering unwanted e-mail messages
US20040139160A1 (en) * 2003-01-09 2004-07-15 Microsoft Corporation Framework to enable integration of anti-spam technologies
US7219131B2 (en) * 2003-01-16 2007-05-15 Ironport Systems, Inc. Electronic message delivery using an alternate source approach
US20070203997A1 (en) * 2003-06-12 2007-08-30 Microsoft Corporation Categorizing electronic messages based on trust between electronic messaging entities

Cited By (318)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9141786B2 (en) 1996-11-08 2015-09-22 Finjan, Inc. Malicious mobile code runtime monitoring system and methods
US9219755B2 (en) 1996-11-08 2015-12-22 Finjan, Inc. Malicious mobile code runtime monitoring system and methods
US9444844B2 (en) 1996-11-08 2016-09-13 Finjan, Inc. Malicious mobile code runtime monitoring system and methods
US9189621B2 (en) 1996-11-08 2015-11-17 Finjan, Inc. Malicious mobile code runtime monitoring system and methods
US8204945B2 (en) 2000-06-19 2012-06-19 Stragent, Llc Hash-based systems and methods for detecting and preventing transmission of unwanted e-mail
US8272060B2 (en) 2000-06-19 2012-09-18 Stragent, Llc Hash-based systems and methods for detecting and preventing transmission of polymorphic network worms and viruses
US7693947B2 (en) 2002-03-08 2010-04-06 Mcafee, Inc. Systems and methods for graphically displaying messaging traffic
US7870203B2 (en) 2002-03-08 2011-01-11 Mcafee, Inc. Methods and systems for exposing messaging reputation to an end user
US8069481B2 (en) 2002-03-08 2011-11-29 Mcafee, Inc. Systems and methods for message threat management
US8578480B2 (en) 2002-03-08 2013-11-05 Mcafee, Inc. Systems and methods for identifying potentially malicious messages
US8561167B2 (en) 2002-03-08 2013-10-15 Mcafee, Inc. Web reputation scoring
US8549611B2 (en) 2002-03-08 2013-10-01 Mcafee, Inc. Systems and methods for classification of messaging entities
US8631495B2 (en) 2002-03-08 2014-01-14 Mcafee, Inc. Systems and methods for message threat management
US7694128B2 (en) 2002-03-08 2010-04-06 Mcafee, Inc. Systems and methods for secure communication delivery
US7779466B2 (en) 2002-03-08 2010-08-17 Mcafee, Inc. Systems and methods for anomaly detection in patterns of monitored communications
US8132250B2 (en) 2002-03-08 2012-03-06 Mcafee, Inc. Message profiling systems and methods
US7903549B2 (en) 2002-03-08 2011-03-08 Secure Computing Corporation Content-based policy compliance systems and methods
US8042181B2 (en) 2002-03-08 2011-10-18 Mcafee, Inc. Systems and methods for message threat management
US8042149B2 (en) 2002-03-08 2011-10-18 Mcafee, Inc. Systems and methods for message threat management
US20030172301A1 (en) * 2002-03-08 2003-09-11 Paul Judge Systems and methods for adaptive message interrogation through multiple queues
US7219131B2 (en) 2003-01-16 2007-05-15 Ironport Systems, Inc. Electronic message delivery using an alternate source approach
US20040199595A1 (en) * 2003-01-16 2004-10-07 Scott Banister Electronic message delivery using a virtual gateway approach
US9037660B2 (en) 2003-05-09 2015-05-19 Google Inc. Managing electronic messages
US7596607B2 (en) 2003-05-22 2009-09-29 International Business Machines Corporation Apparatus for managing email messages
US20080256212A1 (en) * 2003-05-22 2008-10-16 International Business Machines Corporation Apparatus for Managing Email Messages
US20040258044A1 (en) * 2003-05-22 2004-12-23 International Business Machines Corporation Method and apparatus for managing email messages
US7454467B2 (en) * 2003-05-22 2008-11-18 International Business Machines Corporation Method for managing email messages
US9576271B2 (en) 2003-06-24 2017-02-21 Google Inc. System and method for community centric resource sharing based on a publishing subscription model
US9386046B2 (en) 2003-07-22 2016-07-05 Dell Software Inc. Statistical message classifier
US8776210B2 (en) * 2003-07-22 2014-07-08 Sonicwall, Inc. Statistical message classifier
US20120101967A1 (en) * 2003-07-22 2012-04-26 Sonicwall, Inc. Statistical message classifier
US20050080857A1 (en) * 2003-10-09 2005-04-14 Kirsch Steven T. Method and system for categorizing and processing e-mails
US20050144279A1 (en) * 2003-12-31 2005-06-30 Wexelblat David E. Transactional white-listing for electronic communications
US7222158B2 (en) * 2003-12-31 2007-05-22 Aol Llc Third party provided transactional white-listing for filtering electronic communications
US7653695B2 (en) 2004-02-17 2010-01-26 Ironport Systems, Inc. Collecting, aggregating, and managing information relating to electronic messages
US7895448B1 (en) * 2004-02-18 2011-02-22 Symantec Corporation Risk profiling
US8543710B2 (en) * 2004-03-10 2013-09-24 Rpx Corporation Method and system for controlling network access
US20050204050A1 (en) * 2004-03-10 2005-09-15 Patrick Turley Method and system for controlling network access
US20050216587A1 (en) * 2004-03-25 2005-09-29 International Business Machines Corporation Establishing trust in an email client
US8042182B2 (en) * 2004-03-30 2011-10-18 Telecom Italia S.P.A. Method and system for network intrusion detection, related network and computer program product
US20070214504A1 (en) * 2004-03-30 2007-09-13 Paolo Milani Comparetti Method And System For Network Intrusion Detection, Related Network And Computer Program Product
US7913302B2 (en) * 2004-05-02 2011-03-22 Markmonitor, Inc. Advanced responses to online fraud
US9203648B2 (en) 2004-05-02 2015-12-01 Thomson Reuters Global Resources Online fraud solution
US8769671B2 (en) 2004-05-02 2014-07-01 Markmonitor Inc. Online fraud solution
US9356947B2 (en) 2004-05-02 2016-05-31 Thomson Reuters Global Resources Methods and systems for analyzing data related to possible online fraud
US9684888B2 (en) 2004-05-02 2017-06-20 Camelot Uk Bidco Limited Online fraud solution
US8041769B2 (en) 2004-05-02 2011-10-18 Markmonitor Inc. Generating phish messages
US20070294762A1 (en) * 2004-05-02 2007-12-20 Markmonitor, Inc. Enhanced responses to online fraud
US7870608B2 (en) 2004-05-02 2011-01-11 Markmonitor, Inc. Early detection and monitoring of online fraud
US9026507B2 (en) 2004-05-02 2015-05-05 Thomson Reuters Global Resources Methods and systems for analyzing data related to possible online fraud
US7992204B2 (en) 2004-05-02 2011-08-02 Markmonitor, Inc. Enhanced responses to online fraud
US7756930B2 (en) 2004-05-28 2010-07-13 Ironport Systems, Inc. Techniques for determining the reputation of a message sender
US8166310B2 (en) 2004-05-29 2012-04-24 Ironport Systems, Inc. Method and apparatus for providing temporary access to a network device
US7870200B2 (en) 2004-05-29 2011-01-11 Ironport Systems, Inc. Monitoring the flow of messages received at a server
WO2005119484A2 (en) * 2004-05-29 2005-12-15 Ironport Systems, Inc. Method and apparatus for managing connections and electronic messages
WO2005119484A3 (en) * 2004-05-29 2007-04-05 Robert Brahms Method and apparatus for managing connections and electronic messages
US20050265319A1 (en) * 2004-05-29 2005-12-01 Clegg Paul J Method and apparatus for destination domain-based bounce profiles
US7917588B2 (en) 2004-05-29 2011-03-29 Ironport Systems, Inc. Managing delivery of electronic messages using bounce profiles
US7873695B2 (en) 2004-05-29 2011-01-18 Ironport Systems, Inc. Managing connections and messages at a server by associating different actions for both different senders and different recipients
US7849142B2 (en) 2004-05-29 2010-12-07 Ironport Systems, Inc. Managing connections, messages, and directory harvest attacks at a server
US20110178962A1 (en) * 2004-06-04 2011-07-21 Messagemind, Inc. System and method for dynamic adaptive user-based prioritization and display of electronic messages
US7941491B2 (en) 2004-06-04 2011-05-10 Messagemind, Inc. System and method for dynamic adaptive user-based prioritization and display of electronic messages
US7748038B2 (en) 2004-06-16 2010-06-29 Ironport Systems, Inc. Method and apparatus for managing computer virus outbreaks
US20050283837A1 (en) * 2004-06-16 2005-12-22 Michael Olivier Method and apparatus for managing computer virus outbreaks
US20060015941A1 (en) * 2004-07-13 2006-01-19 Mckenna John J Methods, computer program products and data structures for intrusion detection, intrusion response and vulnerability remediation across target computer systems
US8458793B2 (en) 2004-07-13 2013-06-04 International Business Machines Corporation Methods, computer program products and data structures for intrusion detection, intrusion response and vulnerability remediation across target computer systems
US8180834B2 (en) 2004-10-07 2012-05-15 Computer Associates Think, Inc. System, method, and computer program product for filtering messages and training a classification module
US8635690B2 (en) 2004-11-05 2014-01-21 Mcafee, Inc. Reputation based message processing
US7810158B2 (en) * 2004-12-16 2010-10-05 At&T Intellectual Property I, L.P. Methods and systems for deceptively trapping electronic worms
US20060137012A1 (en) * 2004-12-16 2006-06-22 Aaron Jeffrey A Methods and systems for deceptively trapping electronic worms
US20090271482A1 (en) * 2005-03-28 2009-10-29 Konami Digital Entertainment Co., Ltd. Message Character String Output System, Control Method Thereof, and Information Storage Medium
EP1865457A1 (en) * 2005-03-28 2007-12-12 Konami Digital Entertainment Co., Ltd. Message character string output system, control method thereof, and information storage medium
EP1865457A4 (en) * 2005-03-28 2008-10-15 Konami Digital Entertainment Message character string output system, control method thereof, and information storage medium
US8028028B2 (en) 2005-03-28 2011-09-27 Konami Digital Entertainment Co., Ltd. Message character string output system, control method thereof, and information storage medium
WO2006103843A1 (en) 2005-03-28 2006-10-05 Konami Digital Entertainment Co., Ltd. Message character string output system, control method thereof, and information storage medium
US7937480B2 (en) 2005-06-02 2011-05-03 Mcafee, Inc. Aggregation of reputation data
US8161122B2 (en) 2005-06-03 2012-04-17 Messagemind, Inc. System and method of dynamically prioritized electronic mail graphical user interface, and measuring email productivity and collaboration trends
US20080126951A1 (en) * 2005-06-03 2008-05-29 C-Mail Corp. System and method of dynamically prioritized electronic mail graphical user interface, and measuring email productivity and collaboration trends
US7636734B2 (en) * 2005-06-23 2009-12-22 Microsoft Corporation Method for probabilistic analysis of most frequently occurring electronic message addresses within personal store (.PST) files to determine owner with confidence factor based on relative weight and set of user-specified factors
US20060294090A1 (en) * 2005-06-23 2006-12-28 Microsoft Corporation Probabilistic analysis of personal store (.PST) files to determine owner with confidence factor
US7895651B2 (en) 2005-07-29 2011-02-22 Bit 9, Inc. Content tracking in a network security system
US8984636B2 (en) 2005-07-29 2015-03-17 Bit9, Inc. Content extractor and analysis system
US8272058B2 (en) 2005-07-29 2012-09-18 Bit 9, Inc. Centralized timed analysis in a network security system
WO2007017408A1 (en) * 2005-08-10 2007-02-15 Nokia Siemens Networks Gmbh & Co. Kg Method and system for the automatic update of a white list
US20100142512A1 (en) * 2005-08-10 2010-06-10 Nokia Siemens Networks Gmbh & Co. Kg Method and arrangement for automatically updating a white list
US20070271220A1 (en) * 2006-05-19 2007-11-22 Chbag, Inc. System, method and apparatus for filtering web content
US7765294B2 (en) 2006-06-30 2010-07-27 Embarq Holdings Company, Llc System and method for managing subscriber usage of a communications network
US8488447B2 (en) 2006-06-30 2013-07-16 Centurylink Intellectual Property Llc System and method for adjusting code speed in a transmission path during call set-up due to reduced transmission performance
US8477614B2 (en) 2006-06-30 2013-07-02 Centurylink Intellectual Property Llc System and method for routing calls if potential call paths are impaired or congested
US9154634B2 (en) 2006-06-30 2015-10-06 Centurylink Intellectual Property Llc System and method for managing network communications
US9118583B2 (en) 2006-06-30 2015-08-25 Centurylink Intellectual Property Llc System and method for re-routing calls
US9749399B2 (en) 2006-06-30 2017-08-29 Centurylink Intellectual Property Llc System and method for selecting a content delivery network
US9838440B2 (en) 2006-06-30 2017-12-05 Centurylink Intellectual Property Llc Managing voice over internet protocol (VoIP) communications
US8976665B2 (en) 2006-06-30 2015-03-10 Centurylink Intellectual Property Llc System and method for re-routing calls
US8184549B2 (en) 2006-06-30 2012-05-22 Embarq Holdings Company, LLP System and method for selecting network egress
US9549004B2 (en) 2006-06-30 2017-01-17 Centurylink Intellectual Property Llc System and method for re-routing calls
US8570872B2 (en) 2006-06-30 2013-10-29 Centurylink Intellectual Property Llc System and method for selecting network ingress and egress
US8717911B2 (en) 2006-06-30 2014-05-06 Centurylink Intellectual Property Llc System and method for collecting network performance information
US9094257B2 (en) 2006-06-30 2015-07-28 Centurylink Intellectual Property Llc System and method for selecting a content delivery network
US7948909B2 (en) 2006-06-30 2011-05-24 Embarq Holdings Company, Llc System and method for resetting counters counting network performance information at network communications devices on a packet network
US8000318B2 (en) 2006-06-30 2011-08-16 Embarq Holdings Company, Llc System and method for call routing based on transmission performance of a packet network
US9054915B2 (en) 2006-06-30 2015-06-09 Centurylink Intellectual Property Llc System and method for adjusting CODEC speed in a transmission path during call set-up due to reduced transmission performance
US8102770B2 (en) 2006-08-22 2012-01-24 Embarq Holdings Company, LP System and method for monitoring and optimizing network performance with vector performance tables and engines
US8213366B2 (en) 2006-08-22 2012-07-03 Embarq Holdings Company, Llc System and method for monitoring and optimizing network performance to a wireless device
US8223655B2 (en) 2006-08-22 2012-07-17 Embarq Holdings Company, Llc System and method for provisioning resources of a packet network based on collected network performance information
US8223654B2 (en) 2006-08-22 2012-07-17 Embarq Holdings Company, Llc Application-specific integrated circuit for monitoring and optimizing interlayer network performance
US8224255B2 (en) 2006-08-22 2012-07-17 Embarq Holdings Company, Llc System and method for managing radio frequency windows
US8228791B2 (en) 2006-08-22 2012-07-24 Embarq Holdings Company, Llc System and method for routing communications between packet networks based on intercarrier agreements
US8238253B2 (en) 2006-08-22 2012-08-07 Embarq Holdings Company, Llc System and method for monitoring interlayer devices and optimizing network performance
US9253661B2 (en) 2006-08-22 2016-02-02 Centurylink Intellectual Property Llc System and method for modifying connectivity fault management packets
US8199653B2 (en) 2006-08-22 2012-06-12 Embarq Holdings Company, Llc System and method for communicating network performance information over a packet network
US9240906B2 (en) 2006-08-22 2016-01-19 Centurylink Intellectual Property Llc System and method for monitoring and altering performance of a packet network
US8274905B2 (en) 2006-08-22 2012-09-25 Embarq Holdings Company, Llc System and method for displaying a graph representative of network performance over a time period
US9241277B2 (en) 2006-08-22 2016-01-19 Centurylink Intellectual Property Llc System and method for monitoring and optimizing network performance to a wireless device
US8307065B2 (en) 2006-08-22 2012-11-06 Centurylink Intellectual Property Llc System and method for remotely controlling network operators
US8358580B2 (en) 2006-08-22 2013-01-22 Centurylink Intellectual Property Llc System and method for adjusting the window size of a TCP packet through network elements
US8374090B2 (en) 2006-08-22 2013-02-12 Centurylink Intellectual Property Llc System and method for routing data on a packet network
US8407765B2 (en) 2006-08-22 2013-03-26 Centurylink Intellectual Property Llc System and method for restricting access to network performance information tables
US9225646B2 (en) 2006-08-22 2015-12-29 Centurylink Intellectual Property Llc System and method for improving network performance using a connection admission control engine
US8194555B2 (en) 2006-08-22 2012-06-05 Embarq Holdings Company, Llc System and method for using distributed network performance information tables to manage network communications
US9479341B2 (en) 2006-08-22 2016-10-25 Centurylink Intellectual Property Llc System and method for initiating diagnostics on a packet network node
US8472326B2 (en) 2006-08-22 2013-06-25 Centurylink Intellectual Property Llc System and method for monitoring interlayer devices and optimizing network performance
US9602265B2 (en) 2006-08-22 2017-03-21 Centurylink Intellectual Property Llc System and method for handling communications requests
US8144587B2 (en) 2006-08-22 2012-03-27 Embarq Holdings Company, Llc System and method for load balancing network resources using a connection admission control engine
US8488495B2 (en) 2006-08-22 2013-07-16 Centurylink Intellectual Property Llc System and method for routing communications between packet networks based on real time pricing
US9225609B2 (en) 2006-08-22 2015-12-29 Centurylink Intellectual Property Llc System and method for remotely controlling network operators
US8144586B2 (en) 2006-08-22 2012-03-27 Embarq Holdings Company, Llc System and method for controlling network bandwidth with a connection admission control engine
US8509082B2 (en) 2006-08-22 2013-08-13 Centurylink Intellectual Property Llc System and method for load balancing network resources using a connection admission control engine
US8130793B2 (en) 2006-08-22 2012-03-06 Embarq Holdings Company, Llc System and method for enabling reciprocal billing for different types of communications over a packet network
US8520603B2 (en) 2006-08-22 2013-08-27 Centurylink Intellectual Property Llc System and method for monitoring and optimizing network performance to a wireless device
US8125897B2 (en) 2006-08-22 2012-02-28 Embarq Holdings Company Lp System and method for monitoring and optimizing network performance with user datagram protocol network performance information packets
US9042370B2 (en) 2006-08-22 2015-05-26 Centurylink Intellectual Property Llc System and method for establishing calls over a call path having best path metrics
US8107366B2 (en) 2006-08-22 2012-01-31 Embarq Holdings Company, LP System and method for using centralized network performance tables to manage network communications
US8531954B2 (en) 2006-08-22 2013-09-10 Centurylink Intellectual Property Llc System and method for handling reservation requests with a connection admission control engine
US8537695B2 (en) 2006-08-22 2013-09-17 Centurylink Intellectual Property Llc System and method for establishing a call being received by a trunk on a packet network
US8098579B2 (en) 2006-08-22 2012-01-17 Embarq Holdings Company, LP System and method for adjusting the window size of a TCP packet through remote network elements
US9112734B2 (en) 2006-08-22 2015-08-18 Centurylink Intellectual Property Llc System and method for generating a graphical user interface representative of network performance
US8750158B2 (en) 2006-08-22 2014-06-10 Centurylink Intellectual Property Llc System and method for differentiated billing
US9621361B2 (en) 2006-08-22 2017-04-11 Centurylink Intellectual Property Llc Pin-hole firewall for communicating data packets on a packet network
US8549405B2 (en) 2006-08-22 2013-10-01 Centurylink Intellectual Property Llc System and method for displaying a graphical representation of a network to identify nodes and node segments on the network that are not operating normally
US8064391B2 (en) 2006-08-22 2011-11-22 Embarq Holdings Company, Llc System and method for monitoring and optimizing network performance to a wireless device
US9661514B2 (en) 2006-08-22 2017-05-23 Centurylink Intellectual Property Llc System and method for adjusting communication parameters
US8040811B2 (en) 2006-08-22 2011-10-18 Embarq Holdings Company, Llc System and method for collecting and managing network performance information
US9094261B2 (en) 2006-08-22 2015-07-28 Centurylink Intellectual Property Llc System and method for establishing a call being received by a trunk on a packet network
US9660917B2 (en) 2006-08-22 2017-05-23 Centurylink Intellectual Property Llc System and method for remotely controlling network operators
US8576722B2 (en) 2006-08-22 2013-11-05 Centurylink Intellectual Property Llc System and method for modifying connectivity fault management packets
US9054986B2 (en) 2006-08-22 2015-06-09 Centurylink Intellectual Property Llc System and method for enabling communications over a number of packet networks
US8015294B2 (en) 2006-08-22 2011-09-06 Embarq Holdings Company, LP Pin-hole firewall for communicating data packets on a packet network
US9712445B2 (en) 2006-08-22 2017-07-18 Centurylink Intellectual Property Llc System and method for routing data on a packet network
US7940735B2 (en) 2006-08-22 2011-05-10 Embarq Holdings Company, Llc System and method for selecting an access point
US7889660B2 (en) 2006-08-22 2011-02-15 Embarq Holdings Company, Llc System and method for synchronizing counters on an asynchronous packet communications network
US9014204B2 (en) 2006-08-22 2015-04-21 Centurylink Intellectual Property Llc System and method for managing network communications
US7843831B2 (en) 2006-08-22 2010-11-30 Embarq Holdings Company Llc System and method for routing data on a packet network
US8811160B2 (en) 2006-08-22 2014-08-19 Centurylink Intellectual Property Llc System and method for routing data on a packet network
US8619600B2 (en) 2006-08-22 2013-12-31 Centurylink Intellectual Property Llc System and method for establishing calls over a call path having best path metrics
US8619596B2 (en) 2006-08-22 2013-12-31 Centurylink Intellectual Property Llc System and method for using centralized network performance tables to manage network communications
US7808918B2 (en) 2006-08-22 2010-10-05 Embarq Holdings Company, Llc System and method for dynamically shaping network traffic
US8619820B2 (en) 2006-08-22 2013-12-31 Centurylink Intellectual Property Llc System and method for enabling communications over a number of packet networks
US9806972B2 (en) 2006-08-22 2017-10-31 Centurylink Intellectual Property Llc System and method for monitoring and altering performance of a packet network
US9813320B2 (en) 2006-08-22 2017-11-07 Centurylink Intellectual Property Llc System and method for generating a graphical user interface representative of network performance
US9832090B2 (en) 2006-08-22 2017-11-28 Centurylink Intellectual Property Llc System, method for compiling network performancing information for communications with customer premise equipment
US9929923B2 (en) 2006-08-22 2018-03-27 Centurylink Intellectual Property Llc System and method for provisioning resources of a packet network based on collected network performance information
US8743703B2 (en) 2006-08-22 2014-06-03 Centurylink Intellectual Property Llc System and method for tracking application resource usage
US8743700B2 (en) 2006-08-22 2014-06-03 Centurylink Intellectual Property Llc System and method for provisioning resources of a packet network based on collected network performance information
US8670313B2 (en) 2006-08-22 2014-03-11 Centurylink Intellectual Property Llc System and method for adjusting the window size of a TCP packet through network elements
US8687614B2 (en) 2006-08-22 2014-04-01 Centurylink Intellectual Property Llc System and method for adjusting radio frequency parameters
US9241271B2 (en) 2006-08-22 2016-01-19 Centurylink Intellectual Property Llc System and method for restricting access to network performance information
US8194643B2 (en) 2006-10-19 2012-06-05 Embarq Holdings Company, Llc System and method for monitoring the connection of an end-user to a remote network
US8289965B2 (en) 2006-10-19 2012-10-16 Embarq Holdings Company, Llc System and method for establishing a communications session with an end-user based on the state of a network connection
US8189468B2 (en) * 2006-10-25 2012-05-29 Embarq Holdings, Company, LLC System and method for regulating messages between networks
US9521150B2 (en) 2006-10-25 2016-12-13 Centurylink Intellectual Property Llc System and method for automatically regulating messages between networks
US8042161B1 (en) * 2006-11-22 2011-10-18 Symantec Corporation Automatic sharing of whitelist data
US9544272B2 (en) 2007-01-24 2017-01-10 Intel Corporation Detecting image spam
US8179798B2 (en) 2007-01-24 2012-05-15 Mcafee, Inc. Reputation based connection throttling
US8578051B2 (en) 2007-01-24 2013-11-05 Mcafee, Inc. Reputation based load balancing
US7779156B2 (en) 2007-01-24 2010-08-17 Mcafee, Inc. Reputation based load balancing
US9009321B2 (en) * 2007-01-24 2015-04-14 Mcafee, Inc. Multi-dimensional reputation scoring
US20120240228A1 (en) * 2007-01-24 2012-09-20 Mcafee, Inc. Multi-dimensional reputation scoring
US8762537B2 (en) 2007-01-24 2014-06-24 Mcafee, Inc. Multi-dimensional reputation scoring
US8214497B2 (en) 2007-01-24 2012-07-03 Mcafee, Inc. Multi-dimensional reputation scoring
US8763114B2 (en) 2007-01-24 2014-06-24 Mcafee, Inc. Detecting image spam
US7949716B2 (en) 2007-01-24 2011-05-24 Mcafee, Inc. Correlation and analysis of entity attributes
US20080263664A1 (en) * 2007-04-17 2008-10-23 Mckenna John J Method of integrating a security operations policy into a threat management vector
US8111692B2 (en) 2007-05-31 2012-02-07 Embarq Holdings Company Llc System and method for modifying network traffic
US9021129B2 (en) 2007-06-29 2015-04-28 Amazon Technologies, Inc. Request routing utilizing client location information
US9021127B2 (en) 2007-06-29 2015-04-28 Amazon Technologies, Inc. Updating routing information based on client location
US8214895B2 (en) * 2007-09-26 2012-07-03 Microsoft Corporation Whitelist and blacklist identification data
US20090083852A1 (en) * 2007-09-26 2009-03-26 Microsoft Corporation Whitelist and Blacklist Identification Data
US8621559B2 (en) 2007-11-06 2013-12-31 Mcafee, Inc. Adjusting filter or classification control settings
US8185930B2 (en) 2007-11-06 2012-05-22 Mcafee, Inc. Adjusting filter or classification control settings
US8045458B2 (en) 2007-11-08 2011-10-25 Mcafee, Inc. Prioritizing network traffic
US8160975B2 (en) 2008-01-25 2012-04-17 Mcafee, Inc. Granular support vector machine with random granularity
US8533293B1 (en) 2008-03-31 2013-09-10 Amazon Technologies, Inc. Client side cache management
US9621660B2 (en) 2008-03-31 2017-04-11 Amazon Technologies, Inc. Locality based content distribution