Network Intrusion Detection System Model Based On Artificial Immune

被引:0
|
作者
Zhang Yanbin [1 ,2 ]
机构
[1] Dongbei Univ Finance & Econ, Dalian 116025, Liaoning, Peoples R China
[2] Shandong Youth Univ Polit Sci, Jinan 250103, Shandong, Peoples R China
关键词
artificial immune; network intrusion; detection system; model; biological immune principle;
D O I
10.14257/ijsia.2015.9.9.31
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
At present, the intelligent intrusion detection technology has become a new intrusion detection technology and its development direction. Among them, the biological immune principle is introduced into the idea of intelligent intrusion detection technology, offers a new way for the study of intelligent intrusion detection system. This paper builds a network intrusion detection system based on artificial immune principle of the new model. Through the optimization algorithm, the model could improve the ability of the immune response of the system. Finally the KDD CUP99 Data Set simulation a dynamic network environment, the simulation experiment, the new model of the new model based on optimization algorithm and the traditional intelligent intrusion detection model comparing the experimental results. On the basis of the new model to make quantitative analysis and qualitative evaluation, the next step is improving ideas were proposed.
引用
收藏
页码:359 / 369
页数:11
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