An Improved Artificial Immune Approach to Network Intrusion Detection

摘要：

The definition of vaccine, vaccine autonomous obtaining algorithm, vaccination operator and evolution of vaccine library are proposed in this paper. The generic clonal selection algorithm is improved by integrating with vaccine autonomous obtaining and vaccination operator, whose purpose is to accelerate the convergence speed of clonal selection algorithm, and improve the efficiency of the algorithm. The improved clonal selection algorithm together with negative selection mechanism in immunology is used to create the model of network intrusion detection. Simulated experimental results and theoretical computation efficiency analyses demonstrate the availability of the model and the speedup of convergence.

关键词： Artificial Immune System Clonal Selection Algorithm Vaccination operator network Intrusion Detection

作者: Xianjin Fang Longshu Li

作者单位: School of Computer Science and Engineering Anhui University of Science and Technology Huainan, 23200 School of Computer Science and Technology Anhui University Hefei, 230039, China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 39-44

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）