Research on Improved Genetic Algorithm for Virus Intrusion Detection Model

被引：0

作者：

Zhang, Peng ^{[1
]}

机构：

[1] Suzhou Ind Pk Inst Serv Outsourcing, Suzhou 215123, Peoples R China

来源：

PROCEEDINGS OF THE ADVANCES IN MATERIALS, MACHINERY, ELECTRICAL ENGINEERING (AMMEE 2017) | 2017年 / 114卷

关键词：

improved genetic algorithm; intrusion detection model; traditional security model; computer virus;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The purpose of this study is to solve the computer security problems. Based on the traditional security model, the hidden dangers of computer security and the advantages and disadvantages of various intrusion detection techniques are analyzed. A computer intrusion detection system based on an improved genetic algorithm is designed. The results show that the optimized genetic algorithm can improve the efficiency of intrusion detection and reduce the false alarm rate. Therefore, we conclude that the application of genetic algorithm in intrusion detection has important theoretical and practical significance.

引用

页码：721 / 727

页数：7

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