CN110290156B - Big data-based defense and network security device for distributed attack - Google Patents
Big data-based defense and network security device for distributed attack Download PDFInfo
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- 238000012545 processing Methods 0.000 claims abstract description 34
- 238000000034 method Methods 0.000 claims abstract description 31
- 238000004891 communication Methods 0.000 claims abstract description 24
- 238000001514 detection method Methods 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 claims description 4
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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
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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
- H04L63/1441—Countermeasures against malicious traffic
- H04L63/1458—Denial of Service
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L2463/00—Additional details relating to network architectures or network communication protocols for network security covered by H04L63/00
- H04L2463/146—Tracing the source of attacks
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Abstract
The invention relates to a big data-based defense and network security device against distributed attacks, which comprises a network communication base station, a network switch, an Ethernet adapter, a cloud processor, a cloud database, an Ethernet interface and a wireless expander, wherein the network communication base station, the Ethernet interface and the wireless expander are contained in a physical layer, the network switch, the Ethernet adapter, the cloud processor and the cloud database are contained in a data link layer, the cloud processor searches processing history of mobile equipment in the cloud database according to mobile equipment in an area searched by the wireless network expander and signal IP of the mobile equipment in the network communication base station, the Ethernet adapter carries out arbitrary field allocation on the distributed attacks to a computer according to the processing history of the mobile equipment, the network switch converts the field allocated by the Ethernet adapter into a network signal received by the mobile equipment and transmits the network signal to the mobile equipment, the mobile device processes the portion of the attack signal.
Description
Technical Field
The invention relates to the field of network security, in particular to a defense and network security device aiming at distributed attack based on big data.
Background
With the rapid development and deep application of computer science and technology, the revolution in the network space is constantly changing and affecting people's lifestyle. As people have higher and higher dependence on the internet, and many confidential information about enterprises, individuals, and even countries are involved in the internet, the problem of network security has been an important issue in the technological development process. Among a plurality of network Attack methods existing in the internet, Distributed Denial of Service (DDoS) is the most common Attack method with strong destructive power. Distributed denial-of-service attacks, mostly from botnets, cooperate with each other to launch a denial-of-service attack on one or more targets. As the DDoS attack method is simple and has strong concealment, no means for completely defending the DDoS attack exists so far. In the prior art, for DDoS attacks, a host under the same IP address can only adopt individual defense for DDoS attacks, so that effective defense and counterattack cannot be timely performed on the attacks under the widely distributed DDoS attacks.
Disclosure of Invention
The purpose of the invention is as follows:
aiming at the problems that a host under the same IP address can only adopt independent defense for DDoS attack often, and thus effective defense and counterattack can not be timely performed on the attack under the attack of the DDoS with wider distribution, the invention provides a defense and network security device aiming at distributed attack based on big data.
The technical scheme is as follows:
a big data-based defense and network security device against distributed attacks is used for defending against the distributed attacks of the Internet and comprises a network communication base station, a network exchanger, an Ethernet adapter, a cloud processor, a cloud database, an Ethernet interface and a wireless expander, wherein the network communication base station, the Ethernet interface and the wireless expander are contained in a physical layer, the network exchanger, the Ethernet adapter, the cloud processor and the cloud database are contained in a data link layer, the Ethernet interface is used for carrying out wired network connection on computer equipment, the wireless expander is used for searching mobile equipment in an area in a wireless transmission mode, the mobile equipment is simultaneously accessed into the network communication base station, and the cloud processor searches the mobile equipment in the area obtained by searching through the wireless network expander according to a signal IP of the mobile equipment in the network communication base station and a signal IP of the mobile equipment in the cloud database The network switch converts the fields distributed by the Ethernet adapter into network signals received by the mobile equipment and transmits the network signals to the mobile equipment, the mobile equipment processes the part of attack signals and feeds back a processing process to the network communication base station, and the network communication base station feeds back the processing process to the computer equipment.
In a preferred aspect of the present invention, the method comprises: the computer equipment is connected to the cloud processor, and for distributed attack information, the computer equipment transmits a real-time processing result to the cloud processor, and the cloud processor judges the distributed attack information according to the real-time processing result.
In a preferred aspect of the present invention, the method comprises: and when the computer equipment cannot process the data information, handing over the processing authority to the cloud processor through the connection relation with the cloud processor.
In a preferred aspect of the present invention, the method comprises: and the cloud processor judges whether the data is distributed attack information according to the clock signal of the data transmitted to the computer equipment at the Ethernet interface.
In a preferred aspect of the present invention, the method comprises: the cloud processor comprises a data backtracking layer, and the data backtracking layer is used for carrying out data backtracking detection based on clock signals according to the switching nodes of the clock signals.
In a preferred aspect of the present invention, the method comprises: the switching node is a time node for switching between a high level and a low level.
In a preferred aspect of the present invention, the method comprises: the firewall is used for isolating and distributing attack information, the firewall is arranged on the computer equipment and is controlled by the computer equipment and the cloud processor.
In a preferred aspect of the present invention, the method comprises: and when the cloud processor detects the distributed attack information according to the switching node of the clock signal, the cloud processor synchronizes the distributed attack information to the firewall, and the firewall isolates subsequent dangerous data.
In a preferred aspect of the present invention, the method comprises: and the firewall is connected with the network exchanger, and the network exchanger closes the corresponding firewall according to the position of the detected distributed attack information.
In a preferred aspect of the present invention, the method comprises: and the cloud processor transmits the position of the Ethernet interface, at which the distributed attack information is detected, to the network exchanger according to the detection result.
The invention realizes the following beneficial effects:
by transferring and digesting the dangerous information to a certain extent by using the mobile equipment which is connected to the Internet and exists in the area range of the current attack target, the attack target can be ensured to have sufficient processing rate to process the corresponding message updating rate, so that the host can dredge the attack, and the DDoS attack with wide distribution is effectively prevented.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a system framework diagram of the present invention;
fig. 2 is a connection diagram of various parts of the system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Example one
The reference figures are figures 1-2. A big data-based defense and network security device against distributed attacks is used for defending against the distributed attacks of the Internet and comprises a network communication base station 1, a network switch 2, an Ethernet adapter 3, a cloud processor 4, a cloud database 5, an Ethernet interface 6 and a wireless expander 7, wherein the network communication base station 1, the Ethernet interface 6 and the wireless expander 7 are contained in a physical layer 8, the network switch 2, the Ethernet adapter 3, the cloud processor 4 and the cloud database 5 are contained in a data link layer 9, the Ethernet interface is used for conducting wired network connection of a computer device 10, the wireless expander 7 is used for searching a mobile device 11 in an area in a wireless transmission mode, the mobile device 11 is simultaneously accessed to the network communication base station 1, the cloud processor 4 searches mobile devices 11 in the area obtained according to the wireless network expander and the mobile devices 11 in the area obtained through the wireless network expander search are located in the area The signal IP in the network communication base station 1 searches the processing history of the mobile device 11 in the cloud database 5, the ethernet adapter 3 allocates any field to the distributed attack on the computer according to the processing history of the mobile device 11, the network switch 2 converts the field allocated by the ethernet adapter 3 into a network signal received by the mobile device 11 and transmits the network signal to the mobile device 11, the mobile device 11 processes the part of the attack signal and feeds back a processing process to the network communication base station 1, and the network communication base station 1 feeds back the processing process to the computer device 10.
As a preferred mode of the present invention, the computer device 10 is connected to the cloud processor 4, for the distributed attack information, the computer device 10 transmits a real-time processing result to the cloud processor 4, and the cloud processor 4 determines the distributed attack information according to the real-time processing result.
As a preferred mode of the present invention, when the computer device 10 cannot process data information, the processing authority is given to the cloud processor 4 through the connection relationship with the cloud processor 4.
As a preferred mode of the present invention, the cloud processor 4 determines whether the data is distributed attack information according to a clock signal of the data transmitted to the computer device 10 at the ethernet interface 6.
As a preferred mode of the present invention, the cloud processor 4 includes a data trace-back layer, and the data trace-back layer is configured to perform data trace-back detection based on a clock signal according to a switching node of the clock signal.
In a preferred embodiment of the present invention, the switching node is a time node for switching between a high level and a low level.
As a preferred embodiment of the present invention, the present invention further includes a firewall 12, wherein the firewall 12 is configured to isolate distribution attack information, the firewall 12 is disposed on the computer device 10, and the firewall 12 is controlled by the computer device 10 and the cloud processor 4.
As a preferred mode of the present invention, when the cloud processor 4 detects distributed attack information according to the switching node of the clock signal, the cloud processor 4 synchronizes the distributed attack information to the firewall 12, and the firewall 12 isolates subsequent dangerous data.
As a preferred embodiment of the present invention, the firewall 12 is connected to the network switch 2, and the network switch 2 closes the corresponding firewall 12 according to the position of the detected distributed attack information.
As a preferred mode of the present invention, the cloud processor 4 transmits the location of the ethernet interface 6, where the distributed attack information is detected, to the network switch 2 according to the detection result.
In the specific implementation process, the ethernet interface is used for performing wired network connection of the computer device 10, the wireless extender 7 is used for searching the mobile device 11 in the area in a wireless transmission manner, the mobile device 11 is simultaneously accessed to the network communication base station 1, the cloud processor 4 searches the processing history of the mobile device 11 in the cloud database 5 according to the mobile device 11 in the area searched by the wireless extender and the signal IP of the mobile device 11 in the network communication base station 1, the ethernet adapter 3 performs arbitrary field allocation on the distributed attack suffered by the computer according to the processing history of the mobile device 11, the network switch 2 converts the field allocated by the ethernet adapter 3 into a network signal received by the mobile device 11 and transmits the network signal to the mobile device 11, the mobile device 11 processes the partial attack signal and feeds back the processing progress to the network communication base station 1, the network communication base station 1 feeds back the processing procedure to the computer device 10. The computer device 10 is connected to the cloud processor 4, and for the distributed attack information, the computer device 10 transmits a real-time processing result to the cloud processor 4, and the cloud processor 4 determines the distributed attack information according to the real-time processing result.
When a hacker attacks the area network, the cloud processor 4 calculates the message updating rate of the acquired data signal information in real time; the cloud processor 4 calculates data signal information, then calibrates the data signal information of which the calculated message update rate exceeds or is lower than the speed limit value of the message update rate through the flow monitoring module, and the calibrated data signal information is used as dangerous information to be processed, that is, for the dangerous information, when data signal information passes through the backtracking layer, the clock signal of the data signal information is recorded from the first second of the data signal information, and when high and low levels are exchanged each time, the backtracking layer can record again from the beginning on the basis of continuously recording subsequent levels, and the subsequent levels which are recorded at the moment are compared with the levels from the beginning, whether consistency exists or not, and if so, the dangerous data is judged. And (4) danger information. After determining the dangerous information, the computer device 10 calculates the real-time processing rate of the information flow by itself and the network switch 2 due to the problem of network stability, and since the attack signal of the mobile device 11 is only used as a break-out of the attack signal, the allowable message update rate for the mobile device 11 can be amplified, that is, the processing rate of the ethernet adapter 3, the network switch 2 and the mobile device 11 can be appropriately amplified. The cloud processor 4 transmits the dangerous information corresponding to the message to the corresponding Ethernet interface 6 according to different message updating rates and processing rates, for a host in the Internet, the cloud processor 4 transmits data signal information to the Internet host, the Internet host discards the dangerous information within the self processing rate range by itself and submits the characteristics of the dangerous information exceeding or lower than the self processing rate limit value to the cloud processor 4, when the Internet host diffuses the dangerous information to the Internet, the cloud processor 4 distributes the dangerous information to each corresponding Internet of things device through the Ethernet interface 6 according to the message updating frequency of each dangerous information, and the Internet of things device diffuses the part of the dangerous information to the connected Internet.
When the cloud processor 4 judges that the attacked internet host is connected with the rest of the internet, the internet host exchanges part of the dangerous information with the interconnected cloud processor 4, and the rest of the internet host which exchanges the dangerous information processes the dangerous information according to the steps.
The above embodiments are merely illustrative of the technical ideas and features of the present invention, and are intended to enable those skilled in the art to understand the contents of the present invention and implement the present invention, and not to limit the scope of the present invention. All equivalent changes or modifications made according to the spirit of the present invention should be covered within the protection scope of the present invention.
Claims (8)
1. A big data-based defense and network security device against distributed attacks is used for defending against the distributed attacks of the Internet, and is characterized in that: the network communication base station, the Ethernet network adapter, the cloud processor, the cloud database, the Ethernet network interface and the wireless expander are included in a physical layer, the network switch, the Ethernet network adapter, the cloud processor and the cloud database are included in a data link layer, the Ethernet network interface is used for performing wired network connection of computer equipment, the wireless expander is used for searching mobile equipment in an area in a wireless transmission mode, the mobile equipment is simultaneously accessed to the network communication base station, the cloud processor searches the processing history of the mobile equipment in the cloud database according to the mobile equipment in the area searched by the wireless network expander and the signal IP of the mobile equipment in the network communication base station, and the Ethernet network adapter searches the processing history of the computer for distributed attacks according to the processing history of the mobile equipment Allocating any field, wherein the network switch converts the field allocated by the Ethernet adapter into a network signal received by the mobile device and transmits the network signal to the mobile device, the mobile device processes part of attack signals and feeds back a processing process to the network communication base station, and the network communication base station feeds back the processing process to computer equipment;
the computer equipment is connected to a cloud processor, for distributed attack information, the computer equipment transmits a real-time processing result to the cloud processor, the cloud processor judges the distributed attack information according to the real-time processing result, and when the computer equipment cannot process data information, processing authority is handed to the cloud processor through the connection relation with the cloud processor.
2. The big data based defense against distributed attacks and network security device according to claim 1, wherein: and the cloud processor judges whether the data is distributed attack information according to the clock signal of the data transmitted to the computer equipment at the Ethernet interface.
3. The big data based defense against distributed attacks and network security device according to claim 2, wherein: the cloud processor comprises a data backtracking layer, and the data backtracking layer is used for carrying out data backtracking detection based on clock signals according to the switching nodes of the clock signals.
4. The big data based defense against distributed attacks and network security device according to claim 3, wherein: the switching node is a time node for switching between a high level and a low level.
5. The big data based defense against distributed attacks and network security device according to claim 4, wherein: the firewall is used for isolating and distributing attack information, the firewall is arranged on the computer equipment and is controlled by the computer equipment and the cloud processor.
6. The big data based defense against distributed attacks and network security device according to claim 5, wherein: and when the cloud processor detects the distributed attack information according to the switching node of the clock signal, the cloud processor synchronizes the distributed attack information to the firewall, and the firewall isolates subsequent dangerous data.
7. The big data based defense against distributed attacks and network security device according to claim 6, wherein: and the firewall is connected with the network exchanger, and the network exchanger closes the corresponding firewall according to the position of the detected distributed attack information.
8. The big data based defense against distributed attacks and network security device according to claim 7, wherein: and the cloud processor transmits the position of the Ethernet interface, at which the distributed attack information is detected, to the network exchanger according to the detection result.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102137075A (en) * | 2010-01-27 | 2011-07-27 | 中华电信股份有限公司 | System and method for preventing DDoS (Distributed Denial of Service) attack |
| CN102904770A (en) * | 2012-08-02 | 2013-01-30 | 北京邮电大学 | High-bandwidth voice over Internet protocol (VoIP) detection system |
| CN103166926A (en) * | 2011-12-14 | 2013-06-19 | 中国科学院沈阳计算技术研究所有限公司 | Session initiation protocol (SIP) distributed denial of service (DDoS) attack distributed defensive system and load balancing method thereof |
| CN106357689A (en) * | 2016-11-07 | 2017-01-25 | 北京奇虎科技有限公司 | Method and system for processing threat data |
| CN106657001A (en) * | 2016-11-10 | 2017-05-10 | 广州赛讯信息技术有限公司 | Botnet detection method based on Netflow and DNS blog |
| CN109450876A (en) * | 2018-10-23 | 2019-03-08 | 中国科学院信息工程研究所 | A kind of DDos recognition methods and system based on various dimensions state-transition matrix feature |
-
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- 2019-07-26 CN CN201910683874.4A patent/CN110290156B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102137075A (en) * | 2010-01-27 | 2011-07-27 | 中华电信股份有限公司 | System and method for preventing DDoS (Distributed Denial of Service) attack |
| CN103166926A (en) * | 2011-12-14 | 2013-06-19 | 中国科学院沈阳计算技术研究所有限公司 | Session initiation protocol (SIP) distributed denial of service (DDoS) attack distributed defensive system and load balancing method thereof |
| CN102904770A (en) * | 2012-08-02 | 2013-01-30 | 北京邮电大学 | High-bandwidth voice over Internet protocol (VoIP) detection system |
| CN106357689A (en) * | 2016-11-07 | 2017-01-25 | 北京奇虎科技有限公司 | Method and system for processing threat data |
| CN106657001A (en) * | 2016-11-10 | 2017-05-10 | 广州赛讯信息技术有限公司 | Botnet detection method based on Netflow and DNS blog |
| CN109450876A (en) * | 2018-10-23 | 2019-03-08 | 中国科学院信息工程研究所 | A kind of DDos recognition methods and system based on various dimensions state-transition matrix feature |
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Denomination of invention: A defense and network security device based on big data for distributed attacks Effective date of registration: 20230817 Granted publication date: 20210924 Pledgee: Qilu Bank Co.,Ltd. Jinan Second Ring West Road Branch Pledgor: Fano Information Industry Co.,Ltd. Registration number: Y2023980052626 |