RESEARCH ON THE NETWORK INTRUSION DETECTION BASED ON THE IMMUNE SYSTEM

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.

关键词： Network intrusion detection immune system information plus theory clone recombine gene evolution

作者: TAO LIN HE-XU SUN YU-QING PENG ZHAO-MING LEI

作者单位: Department of Automation, Hebei University of Technology, Tianjin, 300130, China;Department of Compu Department of Automation, Hebei University of Technology, Tianjin, 300130, China Department of Computer Science, Hebei University of Technology, Tianjin, 300130, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 4479-4482

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）