作者投稿和查稿 主编审稿 专家审稿 编委审稿 远程编辑

计算机工程 ›› 2008, Vol. 34 ›› Issue (3): 194-195,. doi: 10.3969/j.issn.1000-3428.2008.03.068

• 安全技术 • 上一篇    下一篇

基于粗集理论和人工免疫的入侵检测方法

符海东,赵建峰   

  1. (武汉科技大学计算机学院,武汉 430081)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-02-05 发布日期:2008-02-05

Intrusion Detection Method Based on Rough Set and Artificial Immune

FU Hai-dong, ZHAO Jian-feng   

  1. (College of Computer, Wuhan University of Science & Technology, Wuhan 430081)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-02-05 Published:2008-02-05

摘要: 提出基于Rough集理论和人工免疫的入侵检测系统,通过Rough集理论对网络数据约简得到规则检测器,使用规则检测器设计了基于Rough集的反向选择算法,得到免疫检测器。利用免疫检测器和规则检测器,构造了基于Rough集和人工免疫的入侵检测算法。实验表明,该算法提高了基于人工免疫的入侵检测系统的效率。

关键词: Rough集, 人工免疫, 入侵检测

Abstract: This paper proposes a new intrusion detection method based on the Rough set and artificial immune, gains the rule detector by reducing the net data using rough set theory, designs the negative selection algorithm based on the Rough set using the rule detector and gets the immune detector through the algorithm, constructs the intrusion detection method based on Rough set and artificial immune using rule detector and immune detector. Experimental results indicate that the method hugely improves the efficiency of the intrusion detection system based on the artificial immune.

Key words: Rough set, artificial immune, intrusion detection

中图分类号: