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模糊窗口Markov链在IDS中的应用
引用本文:赵文刚,钟乐海,张娅,杨金,邹海洋.模糊窗口Markov链在IDS中的应用[J].计算机应用,2008,28(6):1398-1400.
作者姓名:赵文刚  钟乐海  张娅  杨金  邹海洋
作者单位:1. 西华师范大学,计算机学院,四川,南充,637002
2. 西南交通大学,信息科学与技术学院,成都,610031
摘    要:针对传统的基于静态Markov模型的前提假设(t+1时刻系统状态的转移概率分布只与t时刻的状态有关,与t时刻以前的状态无关)带来较大误差的不足,提出了一种新的窗口Markov链方法,并且在窗口Markov模型中引入模糊度量。实验验证该模型对正常行为和异常行为具有很好的区分度,且计算快捷,适用于实时检测。

关 键 词:异常检测  Markov链  系统调用  模糊
文章编号:1001-9081(2008)06-1398-03
收稿时间:2007-12-07
修稿时间:2007年12月7日

Application of fuzzy window Markov chain in IDS
ZHAO Wen-gang,ZHONG Le-hai,ZHANG Ya,YANG Jin,ZOU Hai-yang.Application of fuzzy window Markov chain in IDS[J].journal of Computer Applications,2008,28(6):1398-1400.
Authors:ZHAO Wen-gang  ZHONG Le-hai  ZHANG Ya  YANG Jin  ZOU Hai-yang
Affiliation:ZHAO Wen-gang1,ZHONG Le-hai1,ZHANG Ya2,YANG Jin1,ZOU Hai-yang11.College of Computer Science,China West Normal University,Nanchong Sichuan 637002,China,2.College of Information Science , Technology,Southwest Jiaotong University,Chengdu Sichuan 610031
Abstract:The traditional static Markov model is based on such premise of assumptions as transition probability distribution of system mode of t+1 moment is only interrelated with the state at time t but not with that before time t, which brings big error. Therefore, a new window Markov chain was put forward, and fuzzy measure was introduced into it. The experiment confirms that this model has a good discrimination to the normal behavior and the unusual behavior, and has a faster calculation speed, and it is suitable for the on-line detection.
Keywords:anomaly detection  Markov chain  system call  fuzzy
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