Research on Optimal Attack and Defense Decision of Network Security Based on Fuzzy Neural Network

被引：0

作者：

Ye Ru-jun ^{[1
]}

机构：

[1] Zhejiang Business Coll, Hangzhou, Zhejiang, Peoples R China

来源：

INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS | 2016年 / 10卷 / 11期

关键词：

fuzzy neutral network; network security; attack and defense decision;

D O I：

10.14257/ijsia.2016.10.11.26

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to improve the safe level of network security, the fuzzy neutral network is applied in optimal attack and defense decision. Firstly, the theory model of attack and defense decision system for network security based on game theory is constructed, the game model of attack and defense model and the dynamical game model of incomplete information are deduced respectively. Secondly, the basic theory of fuzzy neutral network is analyzed, the framework of diagram of fuzzy neutral network is confirmed, and the model of fuzzy membership function is constructed.. Thirdly, the training algorithm of fuzzy neutral network based on improved genetic algorithm is designed, and computing method in every step is given in detail. And the Evaluation of suspicious person and system is carried out. Finally, simulation experiments are carried out, and results show that system profit and response efficiency is improved, then fuzzy neutral network can obtain higher system profit and response efficiency.

引用

页码：317 / 324

页数：8

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