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基于k-means改进算法的入侵检测系统研究
引用本文:高波,黄敏.基于k-means改进算法的入侵检测系统研究[J].数字社区&智能家居,2014(11):7425-7427.
作者姓名:高波  黄敏
作者单位:西南科技大学计算机学院,四川绵阳621010
基金项目:省级项目——2010年度辽宁省工业攻关计划项目:基于社会Agent的嵌入式网络监测系统研究(项目编号:2010216007)
摘    要:入侵检测技术作为一种主动的网络安全防护技术越来越引起研究者的关注,该文以k-means算法为基础,对基于k-means算法的入侵检测系统进行了研究和分析,指出了传统k-means算法的不足,提出了相应的改进策略,在此基础上完成基于k-means改进算法的入侵检测系统的研究。

关 键 词:入侵检测  数据挖掘  k-means算法

An Intrusion Detection System Based on k-means Algorithm Improved
GAO BO,HUANG Min.An Intrusion Detection System Based on k-means Algorithm Improved[J].Digital Community & Smart Home,2014(11):7425-7427.
Authors:GAO BO  HUANG Min
Affiliation:(School of Computer Science, Southwest University of Science and Technology, Mianyang 621010, China)
Abstract:Intrusion detection technology as a proactive network security technology has drawn increasing attention from researchers. This paper based on k-means algorithm, intrusion detection system based on k-means algorithm were studied and analyzed, pointed out the shortcomings of traditional k-means algorithm, put forward the corresponding improvement strategies. On the basis completed the study An intrusion detection system based on k-means algorithm improved.
Keywords:intrusion detection  data mining  k-means algorithm
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