Method and device for optimizing network anti-virus indexes

Optimizing network anti-virus indicators through genetic algorithms solves the problem in the existing technology that the indicators are complicated and difficult to reflect the interaction between virus characteristics and anti-virus software, and obtains more accurate network anti-virus indicators that reflect the characteristics of viruses and anti-virus software. interaction.

CN107103236AActive Publication Date: 2017-08-29HANDAN BRANCH OF CHINA MOBILE GRP HEBEI COMPANYLIMITED
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HANDAN BRANCH OF CHINA MOBILE GRP HEBEI COMPANYLIMITED
Filing Date
2016-02-22
Publication Date
2017-08-29

AI Technical Summary

Technical Problem

In the existing terminal anti-virus system, virus prevention and control indicators are complicated and difficult to reflect the characteristics of computer viruses and the interaction between anti-virus software, making it difficult to obtain accurate network anti-virus indicators.

Method used

Genetic algorithms are used to optimize the anti-virus indicators of each terminal in the network. Through chromosome encoding and generation-by-generation optimization, optimized network anti-virus indicators are obtained, taking into account virus infection information and anti-virus capability information.

Benefits of technology

It achieves more accurate and realistic network anti-virus indicators, which can reflect the characteristics of the virus itself and the interaction between anti-virus software.

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Abstract

One embodiment of the invention discloses a method and device for optimizing network anti-virus indexes. The method comprises following steps: obtaining anti-virus indexes of terminals in a network, wherein the anti-virus index of each terminal in the network comprises at least one kind of information as follows: virus infection and anti-virus capability information; optimizing the anti-virus indexes of terminals in a network by means of the genetic algorithm to obtain the optimized anti-virus indexes of terminals in the network; obtaining the optimized network anti-virus indexes based on the optimized anti-virus indexes of terminals in the network. One embodiment of the invention also discloses a device for optimizing network anti-virus indexes.
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Citation Information

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