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基于决策树的入侵数据特征检测模型

Intrusion data feature detection model based on decision tree
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摘要 特征检测技术,是入侵检测系统用于识别对各类已知的入侵攻击类型的一种常用技术。通过采用决策树的方法来构建特征检测模型,并与常规的模式匹配检测模型进行对比,降低了在检测过程中对数据相关属性的重复检测,进而实现特征检测环节中检测速率的提高。 The feature detection technology, which is one kind of common technology that intrusion detection system used in distinguishing type of invasion attack that have been known. This article constructs the feature detection model by using decision tree, and contrasts with the conventional pattern matching detection model, reduces redundant detection to the data related attribute in the detection process, then enhances the speed of detection in the feature detection.
出处 《信息技术》 2009年第10期107-109,共3页 Information Technology
关键词 网络安全 入侵检测系统 特征检测 决策树 network security intrusion detection system feature detection decision tree
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参考文献3

  • 1Denning DE. An Intrusion Detection Model [ J ]. IEEE Transaction on software Enginering, 1987,2(2) :222 - 232.
  • 2Anderson J P. Computer security threat monitoring and surveillance [P]. USA:PA 19034,1980-04.
  • 3Lunt T, Tamaru A, Gilham F, et al. A re'd-time intrusion detection exlaert system (IDES)-final technical report [ R]. Technical report, Computer Science Laboratory, Sill International, Menlo Palk, California, February 1992.

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