摘要
为了提高入侵检测系统的效率,将数据挖掘技术应用于网络入侵检测。介绍了入侵检测系统的基本概念,阐述了数据挖掘在入侵检测系统研究中常用的技术,提出了基于数据挖掘的入侵检测系统和一种改进的基于k-means算法。
In order to improve the efficiency of intrusion detection system applying data mining techniques to the network intrusion detection.The basic concepts of intrusion detection system are introduced and the common data mining techniques used in intrusion detection system are briefly elaborated.The intrusion detection system based on the data mining and an improved k-means algorithm are put forward.
出处
《计算机安全》
2010年第10期40-42,共3页
Network & Computer Security
基金
数据挖掘技术在入侵检测系统中的应用项目编号:2008GS02625
关键词
数据挖掘
入侵检测
网络安全
聚类
data mining
intrusion detection
Network security
clustering
