Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (5): 110-112.DOI: 10.3778/j.issn.1002-8331.2009.05.032

• 网络、通信、安全 • Previous Articles     Next Articles

Network intrusion rules extraction based on rough set and niche genetic algorithm

SHI Chang-qiong1,2,WANG Da-wei1,HUANG Hui1,ZHANG Da-fang3   

  1. 1.Institute of Computer and Communication Engineering,Changsha University of Science and Technology,Changsha 410076,China
    2.School of Computer and Communication,Hunan University,Changsha 410082,China
    3.Software School of Hunan University,Changsha 410082,China
  • Received:2008-01-11 Revised:2008-04-02 Online:2009-02-11 Published:2009-02-11
  • Contact: SHI Chang-qiong

基于粗糙集与小生境GA的网络入侵规则提取

史长琼1,2,王大卫1,黄 辉1,张大方3   

  1. 1.长沙理工大学 计算机与通信工程学院,长沙 410076
    2.湖南大学 计算机与通信学院,长沙 410082
    3.湖南大学 软件学院,长沙 410082
  • 通讯作者: 史长琼

Abstract: A method of network intrusion rules extraction based on rough set and niche genetic algorithm is proposed in this paper.This method deals with original data by rough sets for acquiring decisive rules and those can be chosen for the initial group of Niche Genetic Algorithm aimed at acquiring wider coverage range and higher reliability rules by revolution.

Key words: rough sets, niche, Genetic Algorithm(GA), network intrusion

摘要: 对网络入侵规则的提取采用了一种基于ROUGH集和小生境GA结合的方法。该方法是利用粗糙集把原始数据进行处理,获得决策规则,并把这些决策规则作为小生境GA的初始种群,最后通过进化得到有较广覆盖范围和较高可信度的入侵检测规则集。

关键词: 粗糙集, 小生境, 遗传算法, 网络入侵