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Network security emergency disposal system based on recurrent neural network model

A cyclic neural network and emergency response technology, applied in the field of network security, can solve the problems of inconsistent manual processing process, unstable manual processing efficiency, inconvenient management of processing results, etc., to ensure system security, improve efficiency and assistance efficiency, reduce the effect of the process

Inactive Publication Date: 2021-12-21
WUHAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are still some defects in the existing technology, that is, the main discussion of network security incidents is the analysis link of network security incidents, and there is not much description on the emergency response link. In actual operation, the emergency treatment of network security incidents The process is often handled manually, which is greatly affected by personal factors. For example, the efficiency of manual processing is unstable, and the efficiency fluctuates; Manage Disposition Results

Method used

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  • Network security emergency disposal system based on recurrent neural network model
  • Network security emergency disposal system based on recurrent neural network model
  • Network security emergency disposal system based on recurrent neural network model

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Embodiment Construction

[0058] According to an embodiment of the present invention, a network security emergency response system based on a cyclic neural network model is provided.

[0059] Now in conjunction with accompanying drawing and specific embodiment the present invention is further described, as figure 1 As shown, according to the network security emergency response system based on the cyclic neural network model of the embodiment of the present invention, the system includes the following modules:

[0060] Management center module 1, used for system management and completing the connection and calling of each module;

[0061] Knowledge database module 2, used to store risk data and expert knowledge data and update them regularly;

[0062] The risk data stored in the knowledge database module 2 includes web page tampering, domain name hijacking, intrusion attacks, viruses, Trojan horses and malicious codes, and the expert knowledge is a solution corresponding to the risk data.

[0063] Dat...

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Abstract

The invention discloses a network security emergency disposal system based on a recurrent neural network model, and the system comprises the following modules: a management center module which is used for carrying out system management and completing the connection and calling of each module; a knowledge database module which is used for storing risk data and expert knowledge data and regularly updating the data; a data acquisition module which is used for monitoring and acquiring network data in real time; a risk detection tool module which is used for carrying out security detection on the network data and carrying out detection and classification on abnormal data; a risk analysis and processing module which is used for analyzing, matching and processing the abnormal data; a data protection module which is used for protecting local data after abnormal data is detected; and a remote connection auxiliary module which is used for realizing remote assisted processing of the security event. The invention has the beneficial effects that the risk database is utilized to construct the recurrent neural network model, so that the risk can be conveniently rectified and corrected in time, and the process of emergency processing vulnerability detection and rectification is greatly reduced.

Description

technical field [0001] The invention relates to the technical field of network security, in particular to a network security emergency response system based on a cyclic neural network model. Background technique [0002] In today's society, the Internet has formed a scale, which is changing people's study, work and lifestyle more and more profoundly, and even affects the entire social process. The application of the Internet is becoming diversified, and the scale of Internet users continues to show a trend of continuous and rapid development. At this stage, my country's network security situation is becoming increasingly severe and complex, and network security incidents are also becoming more complex. With the rapid development of the mobile Internet, cloud computing has further landed, and NFV (Network Function Virtualization) technology has continued to mature and be commercialized. In a huge Under the IT framework, security risks will further expand. For example, the prob...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/06H04L29/08G06N3/04
CPCH04L63/1425H04L63/1433H04L63/145H04L63/1466H04L67/1095G06N3/045
Inventor 付泽远
Owner WUHAN UNIV
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