计算机工程与应用2011，Vol.47Issue(11)：106-108,181,4.DOI:10.3778/j.issn.1002-8331.2011.11.030
基于改进聚类分析算法的入侵检测系统研究
Intrusion detection system based on improved clustering algorithm
摘要
Abstract
There are two major problems exist in commonly used clustering algorithm for intrusion detection systems:One is clustering algorithm that uses the random method to determine initial cluster centers, the other is that it is easy to fall into local optimal solution caused by climbing-type technology. Based on this,an improved clustering algorithm is proposed. By determining the initial cluster centers of thc two farthest,hierarchical clustering based on the maximum-minimum distance and DBI index it determines the remaining initial cluster center, the method solves the mentioned issue. The simulation verifies the feasibility and superiority of the proposed algorithm.关键词
入侵检测/聚类分析/K-means算法Key words
intrusion detection/cluster analysis/K-means algorithm分类
信息技术与安全科学引用本文复制引用
杜强,孙敏..基于改进聚类分析算法的入侵检测系统研究[J].计算机工程与应用,2011,47(11):106-108,181,4.基金项目
山西省高校科技开发项目(No.200512G2) （No.200512G2）
山西大学科研项目(No.2005103). （No.2005103）
