• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊
论文

Research on the Intrusion Detection Systems Based on the Improved Apriori Algorithm

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  • (School of Computer Science and Information Engineering,Harbin Normal University,Harbin 150025,China)

Received date: 2010-03-16

  Revised date: 2010-06-18

  Online published: 2010-09-08

Abstract

In this paper,for the dynamic theory of the P2DR security model,an association rule mining algorithm is applied to the intrusion detection technology,and  the Apriori algorithm improved.The improved algorithm greatly compresses the number of association rules,and effectively reduces the result set number of rules.The experimental results show that the number of association rules can be effectively compressed,and the efficiency for network data mining is improved .This algorithm effectively decreases the misinformation rate and the rate of fail to report an invasion behavior in intrusion detection systems.

Cite this article

YU Yan,WANG Jianhua,FU Wei . Research on the Intrusion Detection Systems Based on the Improved Apriori Algorithm[J]. Computer Engineering & Science, 2010 , 32(9) : 23 -26 . DOI: 10.3969/j.issn.1007130X.2010.

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