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否定选择算法在网络入侵检测中的应用 被引量:8

Application of Negative Selection Algorism in Network Intrusion Detection
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摘要 针对入侵检测中区别合法授权行为与非法授权行为的问题,从生物免疫系统中得到启发,采用生物免疫系统中的否定选择算法,建立了网络入侵检测模型.通过实验测试表明,在低误报率的情况下,提高了检测率. Aiming at the problem of distinguishing authorized actions from unauthorized actions in the intrusion detection, the conception is inspired by the mechanism exhibited in the biological immune system. In this paper negative selection algorism in the biological immune system is used. Meanwhile , the paper proposes a network intrusion detection model. The experiment manifests that the algorism improves the detection rate in the case of low false alarm rate.
出处 《哈尔滨理工大学学报》 CAS 2006年第2期90-93,96,共5页 Journal of Harbin University of Science and Technology
基金 哈尔滨市学科后备带头人基金项目(2003AFXXJ013) 黑龙江省教育厅科学技术研究项目(10541044)
关键词 入侵检测 生物免疫系统 否定选择算法 intrusion detection biological immune system negative selection algorism
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参考文献5

  • 1陈波,于泠.基于人工免疫的网络入侵检测[J].计算机工程与应用,2002,38(22):165-167. 被引量:9
  • 2FORREST S, PERELSON A S, ALLEN L, CHERUKURI R. Self- nonself Diserimination in a Computer[C]. Proc. of the IEEE Symposium on Research in Security and Privacy, IEEE Computer Society Press, CA:Los Alamitos, 1994,202 -212.
  • 3AYARA M, TIMMIS J, DE LEMOS L, DE CASTRO R, DUNCAN R. Negative selection: How to Generate Detectors [C]. Proceedings of the 1st International Conference on Artificial Immune Systems (ICAR1S). Canterbury, UK, 2002.89- 98.
  • 4鲁云平,姚雪梅.免疫原理及其在入侵检测中的应用[J].计算机应用与软件,2004,21(10):104-106. 被引量:2
  • 5KIM J, BENTLEY P J. Evaluating Negative Selection in an Artificial Immune System for Network Intrusion Conference[ C ]. Genetic anti Evolutionary Computation Conference, San Francisco, 2001,1330-1337.

二级参考文献8

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  • 8陈波,于泠.基于自治Agent的入侵检测系统模型[J].计算机工程,2000,26(12):128-129. 被引量:8

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