CN107018143A - The monitoring system of defense for the APT monitoring defence platforms analyzed based on big data - Google Patents
The monitoring system of defense for the APT monitoring defence platforms analyzed based on big data Download PDFInfo
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- CN107018143A CN107018143A CN201710304058.9A CN201710304058A CN107018143A CN 107018143 A CN107018143 A CN 107018143A CN 201710304058 A CN201710304058 A CN 201710304058A CN 107018143 A CN107018143 A CN 107018143A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
- H04L63/1416—Event detection, e.g. attack signature detection
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
- H04L63/1425—Traffic logging, e.g. anomaly detection
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/02—Network architectures or network communication protocols for network security for separating internal from external traffic, e.g. firewalls
- H04L63/0227—Filtering policies
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- Engineering & Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Computer Hardware Design (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a kind of monitoring system of defense for the APT monitoring defence platforms analyzed based on big data, it is related to network security monitoring field.It includes total evidence obtaining center and multiple points of evidence obtaining centers, and described total evidence obtaining center and multiple points of evidence obtaining centers all represent platform including front end data acquisition platform, big data mining analysis platform and result；The data output end of front end data acquisition platform is connected with the I/O of big data mining analysis platform, and data output end and the result of big data mining analysis platform represent that the data input pin of platform is connected.The data acquisition to the all-network equipment in detection zone is realized, and the proof data of collection is associated analysis and judges that potential APT attacks are threatened.Blacklist and white list are set up, different objects be classified with the monitoring of quilt, finally analysis result is presented, and carrying out contrast with knowledge base information reference makes its degree of accuracy higher.
Description
Technical field
Field, especially a kind of APT monitoring defence platforms analyzed based on big data are monitored the present invention relates to network security
Monitoring system of defense.
Background technology
Under the overall background of global network level of informatization high speed development, possesses disguised, permeability and targetedly high
Level continuation is threatened（APT, advanced persistent threat）The prestige that all kinds of high-grade information safety systems are caused
The side of body it is increasingly serious, for specific objective organized APT attack it is increasing country, the network information system of enterprise and
Data safety faces a severe challenge.For example, China Great Wall network in 2008 suffers from the attack infiltration of U.S. Department of Defense's network hacker,
It is implanted back door and steals information；" the shake net " of 2010.
By preparation for many years and latent, successful attack is located at the industrial control system in physical isolation Intranet, sluggish
The nuclear programme of Iran；" the night dragon action " of 2011 has stolen the extremely sensitive internal text of multiple transnational energy giant companies
Part；The supervirus " flame " of 2012 successfully obtains the substantial amounts of confidential information in Middle East various countries.As can be seen that APT attacks are
Through all kinds of key message infrastructure securities are caused with grave danger, carry out the work of APT attack defendings very urgent.APT is attacked
Hit in defense work, attack detecting is security protection and the premise and foundation reinforced, be also most difficult in APT attack defendings
Part, therefore detection technique turns into the study hotspot in current APT attack defendings field.However, from the point of view of typical case,
APT attacks have extremely strong hidden ability and specific aim, and traditional detection device is felt simply helpless mostly in face of APT attacks.
The content of the invention
Prevented it is an object of the invention to overcome the deficiencies of the prior art and provide a kind of based on the APT monitorings that big data is analyzed
The monitoring system of defense of imperial platform, realizes the data acquisition to the all-network equipment in detection zone, and by the evidence of collection
Data are associated analysis and judge that potential APT attacks are threatened.
The purpose of the present invention is achieved through the following technical solutions：It is a kind of to be prevented based on the APT monitorings that big data is analyzed
The monitoring system of defense of imperial platform, it is characterised in that：It includes total evidence obtaining center and multiple points of evidence obtaining centers, described total evidence obtaining
Center and multiple points of evidence obtaining centers all represent platform including front end data acquisition platform, big data mining analysis platform and result；
The data output end of front end data acquisition platform is connected with the I/O of big data mining analysis platform, and big data, which is excavated, divides
The data output end of analysis platform represents that the data input pin of platform is connected with result.
Further limit, the main frame probe of described front end data acquisition platform is with network probe respectively in monitored area
All-network equipment terminal evidence collection and network evidence collection.
Further limit, described terminal evidence collection includes end message record, enters thread record, peripheral apparatus note
Record, port information record, software of the third party record, data in magnetic disk operation note and registry information record.
Further limit, described network evidence collection is including remote control protocol analysis, spectroscopy data are obtained, network is set
Standby Remote configuration protocal analysis, standard agreement analysis, nonstandard protocol analysis, the analysis of user's custom protocol and unknown protocol point
Analysis.
Further limit, described big data mining analysis platform includes behavioral data analysis module, knowledge base and evidence
Save module from damage.
Further limit, described knowledge base including user profile put on record storehouse, user security demand storehouse, threat modeling storehouse,
Behaviorist risk laws and regulations storehouse, behavior regulation storehouse and user's regulations storehouse.
Further limit, the data collected are associated analysis by described behavior evidence association analysis module.
Further limit, described behavioral data analysis module carries out IP associations, user-association, association in time, type pass
Connection and structure connection and the behavior type for making host service function behavior, network service behavior, business conduct and remote service behavior
Judge.
Further limit, described knowledge base is put on record including user base information, act of authorization white list, unauthorized behavior
Blacklist, evidence obtaining strategy, evidence record, behaviorist risk standard, state's laws regulation and itself monitor system of defense system match somebody with somebody
Put.
Further limit, described preservation of evidence module includes data storage cell and codified processing unit, described
Data storage cell carries out the storage of data, and data are carried out unified sign, unified field and unified lattice by codified processing unit
Formula.
The beneficial effects of the invention are as follows：The data acquisition to the all-network equipment in detection zone is realized, and will collection
Proof data be associated analysis and judge that potential APT attack is threatened, filtering blocking is carried out to network service process to be had
Information flow is detected and alarm.Blacklist and white list are set up, different objects be classified with the monitoring of quilt, finally by analysis result
Presented, and carrying out contrast with knowledge base information reference makes its degree of accuracy higher.
Brief description of the drawings
Fig. 1 is present system frame diagram；Fig. 2 is that evidence-obtaining system of the present invention disposes schematic diagram.
Embodiment
Technical scheme is described in further detail below in conjunction with the accompanying drawings, but protection scope of the present invention is not limited to
It is as described below.
As shown in figure 1, a kind of monitoring system of defense for the APT monitoring defence platforms analyzed based on big data, its feature is existed
In：It includes total evidence obtaining center and multiple points of evidence obtaining centers, before described total evidence obtaining center and multiple points of evidence obtaining centers all includes
End data acquisition platform, big data mining analysis platform and result represent platform；The data output end of front end data acquisition platform
It is connected with the I/O of big data mining analysis platform, the data output end of big data mining analysis platform is represented with result
The data input pin of platform is connected.
Further limit, the main frame probe of described front end data acquisition platform is with network probe respectively in monitored area
All-network equipment terminal evidence collection and network evidence collection.
Further limit, described terminal evidence collection includes end message record, enters thread record, peripheral apparatus note
Record, port information record, software of the third party record, data in magnetic disk operation note and registry information record.
Further limit, described network evidence collection is including remote control protocol analysis, spectroscopy data are obtained, network is set
Standby Remote configuration protocal analysis, standard agreement analysis, nonstandard protocol analysis, the analysis of user's custom protocol and unknown protocol point
Analysis.
Further limit, described big data mining analysis platform includes behavioral data analysis module, knowledge base and evidence
Save module from damage.
Further limit, described knowledge base including user profile put on record storehouse, user security demand storehouse, threat modeling storehouse,
Behaviorist risk laws and regulations storehouse, behavior regulation storehouse and user's regulations storehouse.
Further limit, the data collected are associated analysis by described behavior evidence association analysis module.
Further limit, described behavioral data analysis module carries out IP associations, user-association, association in time, type pass
Connection and structure connection and the behavior type for making host service function behavior, network service behavior, business conduct and remote service behavior
Judge.
Further limit, described knowledge base is put on record including user base information, act of authorization white list, unauthorized behavior
Blacklist, evidence obtaining strategy, evidence record, behaviorist risk standard, state's laws regulation and itself monitor system of defense system match somebody with somebody
Put.
Further limit, described preservation of evidence module includes data storage cell and codified processing unit, described
Data storage cell carries out the storage of data, and data are carried out unified sign, unified field and unified lattice by codified processing unit
Formula.
System work process is specially：
Evidence obtaining policy issue is given front end data acquisition platform by the evidence obtaining policy library of knowledge base, and front end data acquisition platform is gathered
Object treasure-house database server, communication intermediate server, business intermediate server, business system server, network service
Equipment, Network Security Device, service terminal main frame and office terminal main frame etc..
The user base information of knowledge base storehouse user information terminal information of putting on record is put on record.
In collection, verification determines whether that the act of authorization white list storehouse of knowledge base includes, the white name of the described act of authorization
Single storehouse includes：Operating system configuration behavior white list, operating system data manipulation behavior white list, the white name of database configuration behavior
List, database data operation behavior white list, network apparatus remote configuration management behavior white list, operation system operation behavior are white
List and remote control behavior white list.
In collection, verification determines whether the security liability behavior list storehouse of knowledge base, described security liability behavior name
Single storehouse is the list that the related responsibility behavior that should be fulfiled is formulated according to industrial security business demand.
In collection, verification determines whether the prohibitive behavior blacklist storehouse of knowledge base, described prohibitive behavior blacklist storehouse
It is that blacklist configuration is made according to user's request clear and definite prohibitive behavior.
Using all users in the monitored area are carried out with evidence collection, main frame probe collection is remembered including end message
Record, enter thread record, peripheral apparatus record, port information record, software of the third party record, data in magnetic disk operation note and registration table
The terminal datas such as information record；Network probe collection includes end message record, enters thread record, peripheral apparatus record, port
The network evidences such as information record, software of the third party record, data in magnetic disk operation note and registry information record.
After the completion of data acquisition, the influence seriousness that the behaviorist risk java standard library of knowledge base is produced for unauthorized behavior is entered
Row classification.
System configuration manages storehouse to the management configuration inside evidence-obtaining system.Including system user management, front end evidence collection
Point certification etc..
The behavior evidence storehouse of knowledge base is used when being recorded evidence obtaining result for inquiry.
Behavioral data analysis module carries out IP associations, user-association, association in time, type association and structure connection and made
The behavior type of host service function behavior, network service behavior, business conduct and remote service behavior judges.
Described preservation of evidence module includes data storage cell and codified processing unit, described data storage cell
The storage of data is carried out, data are carried out unified sign, unified field and unified form by codified processing unit.
As a result represent that platform is mainly all kinds of inquiry/management terminals.As a result platform is represented according to using the need for main body, it is raw
Into all kinds of forms and analysis report.As a result the friendly interface queries data warehouse content of platform is represented, and realizes that session is reset,
Each platform management is safeguarded, such as backs up, delete.And operator may call upon knowledge base data and carry out assistant analysis.
As shown in Fig. 2 an evidence-obtaining system deployment schematic diagram under multiple ISP environment based on Initiative Defense.Built in ISP
Vertical branch center, each branch center can have the front end data acquisition platform of oneself, big data mining analysis platform, result to represent flat
Platform.Head center（Convergent point）Positioned at central machine room, convergent point to each collection point can take xDSL or other special lines, in order to protect
Close, convergent point takes privately owned circuit to each collection point, does not pass through Internet.
It is apparent to those skilled in the art that, for convenience of description and succinctly, the side of foregoing description
The specific work process of method, system and module, may be referred to the corresponding process in preceding method embodiment, will not be repeated here.
Disclosed herein method, system and module, can realize by another way.For example, described above
Embodiment be only illustrative, it is actual to realize for example, the division of the module, can be only a kind of division of logic function
When can have other dividing mode, such as multiple module or components can combine or be desirably integrated into another system, or
Some features can be ignored, or not perform.Another, shown or discussed coupling or direct-coupling or communication each other
Connection is it may be said that by some interfaces, the INDIRECT COUPLING or communication connection of system or module can be electrical, machinery or other
Form.
The module that the discrete parts illustrates can be or may not be physically separate, be shown as module
Part can be or can not be physical module, you can with positioned at a place, or can also be distributed to multiple network moulds
On block.Some or all of module therein can be selected according to the actual needs to realize the scheme purpose of the present embodiment.
In addition, each functional module in each embodiment of the invention can be integrated in a processing module, can also
That modules are individually physically present, can also two or more modules be integrated in a module.
If the function is realized using in the form of software function module and is used as independent production marketing or in use, can be with
It is stored in a computer-readable recording medium.Understood based on such, technical scheme is substantially right in other words
The part or the part of the technical scheme that prior art contributes can be embodied in the form of software product, the calculating
Machine software product is stored in a storage medium, including some instructions are to cause a computer equipment（Can be personal
Computer, server, or network equipment etc.）Perform all or part of step of each embodiment methods described of the invention.And
Foregoing storage medium includes：USB flash disk, mobile hard disk, system memory（Read-Only Memory, ROM）, random access memory
Device（Random Access Memory, RAM）, magnetic disc or CD etc. are various can be with the medium of store program codes
Described above is only the preferred embodiment of the present invention, it should be understood that the present invention is not limited to shape described herein
Formula, is not to be taken as the exclusion to other embodiment, and available for various other combinations, modification and environment, and can be herein
In the contemplated scope, it is modified by the technology or knowledge of above-mentioned teaching or association area.And those skilled in the art are carried out
Change and change do not depart from the spirit and scope of the present invention, then all should be in the protection domain of appended claims of the present invention.
Claims (10)
1. a kind of monitoring system of defense for the APT monitoring defence platforms analyzed based on big data, it is characterised in that：It includes always taking
Card center and multiple points of evidence obtaining centers, described total evidence obtaining center and multiple points of evidence obtaining centers are all flat including front end data acquisition
Platform, big data mining analysis platform and result represent platform；The data output end of front end data acquisition platform is excavated with big data
The I/O of analysis platform is connected, and data output end and the result of big data mining analysis platform represent that the data of platform are defeated
Enter end to be connected.
2. a kind of monitoring system of defense of APT monitoring defence platforms analyzed based on big data according to claim 1, its
It is characterised by：The main frame probe of described front end data acquisition platform is with network probe respectively to the all-network in monitored area
The terminal evidence collection and network evidence collection of equipment.
3. a kind of monitoring system of defense of APT monitoring defence platforms analyzed based on big data according to claim 2, its
It is characterised by：Described terminal evidence collection includes end message record, enters thread record, peripheral apparatus record, port information
Record, software of the third party record, data in magnetic disk operation note and registry information record.
4. a kind of monitoring system of defense of APT monitoring defence platforms analyzed based on big data according to claim 2, its
It is characterised by：Described network evidence collection includes remote control protocol analysis, spectroscopy data acquisition, network apparatus remote configuration
Protocal analysis, standard agreement analysis, nonstandard protocol analysis, the analysis of user's custom protocol and unknown protocol analysis.
5. a kind of monitoring system of defense of APT monitoring defence platforms analyzed based on big data according to claim 1, its
It is characterised by：Described big data mining analysis platform includes behavioral data analysis module, knowledge base and preservation of evidence module.
6. a kind of monitoring system of defense of APT monitoring defence platforms analyzed based on big data according to claim 5, its
It is characterised by：Described knowledge base is put on record storehouse, user security demand storehouse, threat modeling storehouse, behaviorist risk method including user profile
Laws ＆ Regulations storehouse, behavior regulation storehouse and user's regulations storehouse.
7. a kind of monitoring system of defense of APT monitoring defence platforms analyzed based on big data according to claim 6, its
It is characterised by：The data collected are associated analysis by described behavior evidence association analysis module.
8. a kind of monitoring system of defense of APT monitoring defence platforms analyzed based on big data according to claim 7, its
It is characterised by：Described behavioral data analysis module carries out IP associations, user-association, association in time, type association and structure and closed
Join and make host service function behavior, network service behavior, the behavior type of business conduct and remote service behavior judge.
9. a kind of monitoring system of defense of APT monitoring defence platforms analyzed based on big data according to claim 5, its
It is characterised by：Described knowledge base is put on record including user base information, act of authorization white list, unauthorized behavior blacklist, taken
Demonstrate,prove the system configuration of strategy, evidence record, behaviorist risk standard, state's laws regulation and itself monitoring system of defense.
10. a kind of monitoring system of defense of APT monitoring defence platforms analyzed based on big data according to claim 5,
It is characterized in that：Described preservation of evidence module includes data storage cell and codified processing unit, described data storage
Unit carries out the storage of data, and data are carried out unified sign, unified field and unified form by codified processing unit.
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| CN201710304058.9A CN107018143A (en) | 2017-05-03 | 2017-05-03 | The monitoring system of defense for the APT monitoring defence platforms analyzed based on big data |
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| CN201710304058.9A CN107018143A (en) | 2017-05-03 | 2017-05-03 | The monitoring system of defense for the APT monitoring defence platforms analyzed based on big data |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109547486A (en) * | 2018-12-29 | 2019-03-29 | 浙江汇安网络科技有限公司 | A kind of monitoring analysis method of Internet of Things network layer communication |
| CN110324353A (en) * | 2019-07-11 | 2019-10-11 | 武汉思普崚技术有限公司 | A kind of methods, devices and systems of network trace reel chain attack |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103986706A (en) * | 2014-05-14 | 2014-08-13 | 浪潮电子信息产业股份有限公司 | Security structure design method dealing with APT attacks |
| CN104283889A (en) * | 2014-10-20 | 2015-01-14 | 国网重庆市电力公司电力科学研究院 | Electric power system interior APT attack detection and pre-warning system based on network architecture |
| CN105141598A (en) * | 2015-08-14 | 2015-12-09 | 中国传媒大学 | APT (Advanced Persistent Threat) attack detection method and APT attack detection device based on malicious domain name detection |
| CN106453401A (en) * | 2016-10-21 | 2017-02-22 | 国家计算机网络与信息安全管理中心山东分中心 | Network monitoring, analyzing and managing platform based on multi-source massive heterogeneous data |
| CN206077070U (en) * | 2016-08-31 | 2017-04-05 | 国网四川省电力公司信息通信公司 | High amount of traffic safety analysis detection and APT attack detection systems based on intelligent grid |
-
2017
- 2017-05-03 CN CN201710304058.9A patent/CN107018143A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103986706A (en) * | 2014-05-14 | 2014-08-13 | 浪潮电子信息产业股份有限公司 | Security structure design method dealing with APT attacks |
| CN104283889A (en) * | 2014-10-20 | 2015-01-14 | 国网重庆市电力公司电力科学研究院 | Electric power system interior APT attack detection and pre-warning system based on network architecture |
| CN105141598A (en) * | 2015-08-14 | 2015-12-09 | 中国传媒大学 | APT (Advanced Persistent Threat) attack detection method and APT attack detection device based on malicious domain name detection |
| CN206077070U (en) * | 2016-08-31 | 2017-04-05 | 国网四川省电力公司信息通信公司 | High amount of traffic safety analysis detection and APT attack detection systems based on intelligent grid |
| CN106453401A (en) * | 2016-10-21 | 2017-02-22 | 国家计算机网络与信息安全管理中心山东分中心 | Network monitoring, analyzing and managing platform based on multi-source massive heterogeneous data |
Non-Patent Citations (1)
| Title |
|---|
| 管磊: ""基于大数据的网络安全态势感知技术研究"", 《第31次全国计算机安全学术交流会论文集》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109547486A (en) * | 2018-12-29 | 2019-03-29 | 浙江汇安网络科技有限公司 | A kind of monitoring analysis method of Internet of Things network layer communication |
| CN110324353A (en) * | 2019-07-11 | 2019-10-11 | 武汉思普崚技术有限公司 | A kind of methods, devices and systems of network trace reel chain attack |
| CN110324353B (en) * | 2019-07-11 | 2022-02-25 | 武汉思普崚技术有限公司 | Method, device and system for network tracking long chain attack |
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Application publication date: 20170804 |