Network security situation prediction system based on artificial intelligence

A network security and prediction system technology, applied in the field of network security situation prediction system, can solve problems affecting the normal operation of the network, difficult to grasp the network security status, etc., to achieve the effect of avoiding the impact of personal life and ensuring rational guidance

Inactive Publication Date: 2020-09-18
JIANGSU SECURITY TECH CARRER ACADEMY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] With the wide application of the Internet, network attacks occur frequently, and network security issues have become a widespread concern in the society. Now there are many ways to maintain network security. Various antivirus software and firewalls will block many dangerous information, and network administrators have to deal with massive Information feedback is difficult to grasp the security status of the entire network. If security risks cannot be discovered in time, the normal operation of the network may be affected.

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0021] A network security situation prediction system based on artificial intelligence, comprising: a situation awareness module, a situation understanding module and a situation prediction module; wherein, the situation awareness module includes a network event recording module and a network event popularity increase recording module, and the situation understanding module The module includes a network event cause analysis module, a network event related person analysis module, and a network event impact analysis module on the public. The situation prediction module includes a network event heat prediction model, a network event impact time prediction model, and network events. predictive model;

[0022] The situation awareness module, the situation understanding module and the situation prediction module are all connected to a database through the data transmission module signal, and the database includes past network events, network event occurrence time, network event heat ...

Embodiment 2

[0028] A network security situation prediction system based on artificial intelligence, comprising: a situation awareness module, a situation understanding module and a situation prediction module; wherein, the situation awareness module includes a network event recording module and a network event popularity increase recording module, and the situation understanding module The module includes a network event cause analysis module, a network event related person analysis module, and a network event impact analysis module on the public. The situation prediction module includes a network event heat prediction model, a network event impact time prediction model, and network events. predictive model;

[0029] The situation awareness module, the situation understanding module and the situation prediction module are all connected to a database through the data transmission module signal, and the database includes past network events, network event occurrence time, network event heat ...

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PUM

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Abstract

The invention discloses a network security situation prediction system based on artificial intelligence, and particularly relates to the field of artificial intelligence, which comprises a situation awareness module, a situation understanding module and a situation prediction module; the situation awareness module comprises a network event recording module and a network event popularity increase recording module; the situation understanding module comprises a network event occurrence reason analysis module, a network event associated person analysis module and a network event public influenceanalysis module, and the situation prediction module comprises a network event popularity prediction model. According to the invention, the situation awareness module, the situation understanding module and the situation prediction module are used, the heat of the network event is preheated and analyzed in real time, and the network event is monitored in real time, so that a corresponding controleffect can be effectively achieved on the network event, and the problem that a network administrator needs to consume a large amount of time to analyze and manage the event is avoided.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, and more specifically, the invention relates to an artificial intelligence-based network security situation prediction system. Background technique [0002] Network security situation awareness is to understand and grasp the network security status from an overall perspective, and make an evaluation through the integration of network security situation information, providing network administrators with comprehensive, intuitive and accurate decision-making reference. An important part of the monitoring of the network security situation is the network security situation prediction. Through the prediction of the network security development trend, potential threats can be found, and the administrator's ability to pre-process danger can be improved to prevent and control network security. The emergence of risks. [0003] With the wide application of the Internet, network attacks occu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/953G06F16/958
CPCG06F16/953G06F16/958
Inventor 周旺红
Owner JIANGSU SECURITY TECH CARRER ACADEMY
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