摘要
通过对入侵检测和数据挖掘技术的研究,分析了数据挖掘技术在入侵检测系统中的应用。针对入侵检测领域特点,对经典关联、聚类算法进行了改进和优化。对k-means算法的改进解决了聚类算法固有的无法预知最佳聚类个数和分类过细的问题。
This paper analyses the application of data mining in intrusion detection system by the research on IDS and data mining.According to the characteristic of IDS,it improves and optimizes the association and cluster rules.The improvement of k-means rules resolved it s own existing disadvantage such as it unable to presage the number of the best cluster and its fine classification.
出处
《信息技术》
2007年第10期100-103,共4页
Information Technology
关键词
入侵检测
数据挖掘
聚类分析
关联规则
intrusion detection
data mining
clustering analysis
association rule
