Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (5): 149-151.

• 网络、通信与安全 • Previous Articles     Next Articles

Research of intrusion detection based on improved algorithm of dynamic clonal

XU Jing1,2,LI Yong-zhong1,ZHAO Bo1,YANG Ge1   

  1. 1.College of Electrics and Information,Jiangsu University of Science and Technology,Zhenjiang,Jiangsu 212003,China
    2.College of Electrical and Information Engineering,Yancheng Institute of Technology,Yancheng,Jiangsu 224003,China
  • Received:2007-06-07 Revised:2007-08-24 Online:2008-02-11 Published:2008-02-11
  • Contact: XU Jing

基于改进动态克隆算法的入侵检测研究

徐 静1,2,李永忠1,赵 博1,杨 鸽1   

  1. 1.江苏科技大学 电子信息学院,江苏 镇江 212003
    2.盐城工学院 电气与信息工程学院,江苏 盐城 224003
  • 通讯作者: 徐 静

Abstract: Aiming at high false positive rate of dynamic clonal selection algorithm applied in intrusion detection system(IDS),an improved dynamic clonal selection algorithm is proposed.The improved dynamic clonal selection algorithm is described in detail.An IDS model is established based on artificial immune system.Simulation results indicate that the improved algorithm achieves low false positive rate.

Key words: artificial immune, dynamic clonal selection algorithm, intrusion detection system

摘要: 针对动态克隆选择算法在入侵检测应用中存在的高误检率,提出了一种改进动态克隆选择算法。对改进算法进行了描述,建立了一种基于人工免疫的入侵检测模型,并进行了仿真验证。仿真结果表明,改进后的算法取得了低的误检率。

关键词: 人工免疫, 动态克隆选择算法, 入侵检测系统