期刊文献+

基于数据挖掘的IDDM入侵检测系统模型的设计和实现

Analyse and Design for IDDM Intrusion Detecting System Model based on Data Mining
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摘要 将数据挖掘技术用于入侵检测领域,是实现IDS智能化的重要手段.本文首先给出了分类算法的编程的实现,并以决策树进行显示分类.最后按照CIDF基本标准,本文提出了一个以分类算法为基本的IDDM入侵检测系统模型,并对DoS Prob R21等病毒的入侵进行了测试. We try applying Data mine technology to Intrusion detection domain,which is a importmant method of implement intelligentizeing IDS.This paper firstly give us a programming for classify arithmetic,and show the classfy by a decision tree.Finally according to the basic criterion of CIDF,this paper give us a basic IDDM intrusion detection model by classfy arithmetic,and test the intrusion by Dos,Prob,R21 etc.virus.
作者 唐德玉 杨进
机构地区 广东药学院
出处 《电脑知识与技术(过刊)》 2007年第14期515-516,共2页 Computer Knowledge and Technology
关键词 分类 CIDF 决策树 攻击 classfy CIDF decision tree attack
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参考文献5

  • 1[1]Wenke Lee,Salvatore J.Stolfo.Data Mining Approaches for Intrusion Detection.In Proceedings of the 7th USENIX Security Symposium,San Antonio,TX,January 1998.
  • 2[2]Spafford EH,Zambonl D.Intrusion detection using autonomous agents[J].Computer Network,2000,34(4):547-570.
  • 3[3]Lee.A Data Mining Framework for Constructing Features and Models for Intrusion Detection System:[PhD thesis].Columbia University,1999.
  • 4[4]Lee W.Stolfo S J,Mok K W.A data mining framework for building intrusion detection models.In:Proc.Of the 1999 IEEE Symposium on Security and Privacy,May 1999.
  • 5[5]Joshi M,Karypis G.A Universal Formulation of Sequential Patterns:[Technical Report No/99-021].Department of Computer Science,University of Minnesota,1999.

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