Research on the network intrusion detection based on the immune system

被引:0
|
作者
Lin, Tao [1 ,2 ]
Sun, He-Xu [1 ]
Peng, Yu-Qing [2 ]
Lei, Zhao-Ming [1 ]
机构
[1] Hebei Univ Technol, Dept Automat, Tianjin 300130, Peoples R China
[2] Hebei Univ Technol, Dept Comp Sci, Tianjin 300130, Peoples R China
关键词
network intrusion detection; immune system; information plus theory; clone recombine; gene evolution;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A network intrusion detection model based on immune system is constructed after a thorough studying for the natural immunological principle. It applied clone recombine, negative selection, and gene evolution and antibody diversity into network intrusion detection. Two detection strategy-misuse and abnormity detection are combined organically, and information plus theory is used to select gene classes. Experiments show accuracy rate of intrusion detection is improved.
引用
收藏
页码:4479 / +
页数:2
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