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数据挖掘算法在入侵检测系统中的应用 被引量：7

Application of Association Rules and Sequence Pattern Algorithm in IDS
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摘要 数据挖掘可以利用各种分析工具从海量数据中发现模型和数据间的关系并做出预测。针对入侵检测系统的特点 ,将关联规则算法与序列模式算法应用于入侵检测系统中 ,介绍了将适当改进的关联规则Apriori算法与序列模式GSP算法相结合挖掘原始审计数据中频繁模式的过程 。 Data mining can find the relation between pattern and data from the large number of data and the forecast will be made.The application of association rules algorithm and sequence pattern algorithm in IDS is presented.The process integrated frequence pattern from audit data with Apriori algorithm and GSP algorithm,is introduced,and the application of algorithms with extended association rules is also presented.
作者 胡笑蕾 胡华平 宋世杰
机构地区 国防科学技术大学计算机学院
出处 《计算机应用研究》 CSCD 北大核心 2004年第7期88-90,共3页 Application Research of Computers
基金 国家"8 6 3"基金资助项目 (2 0 0 1AA14 2 0 30 )
关键词 关联规则 序列模式 频繁模式 入侵检测 Association Rules Sequence Pattern Frequence Pattern Intrusion Detection
分类号 TP311.131 [自动化与计算机技术—计算机软件与理论]
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参考文献11

  • 1胡华平,陈海涛,黄辰林,唐勇.入侵检测系统研究现状及发展趋势[J].计算机工程与科学,2001,23(2):20-25. 被引量：53
  • 2[2]Wenke Lee.A Data Mining for Constructing Feature and Model for Intrusion Detection System[D]. Paper of the Degree of Doctor of Philosophy in the Graduate School of Arts and Sciences,COLUMBIA UNIVERSITY,1999,59-62.
  • 3[3]Wenke Lee,et al.Algorithms for Mining System Audit Data[C].Proceedings of,IEEE Symposium on Security and Privacy,1999.
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二级参考文献9

  • 1[1]Lee Wenke, Stolfo S J. Data mining approaches for intrusion detection. In: Proc the 7th USENIX Security Symposium, San Antonio, TX, 1998
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  • 8赵海波,李建华,杨宇航.网络入侵智能化实时检测系统[J].上海交通大学学报,1999,33(1):76-79. 被引量：37
  • 9黄辰林,赵辉,胡华平.基于分布自治代理的层次入侵检测系统设计[J].计算机工程与应用,2001,37(6):47-49. 被引量：12

共引文献135

同被引文献21

引证文献7

二级引证文献10

计算机应用研究
2004年 第7期

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