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基于改进动态克隆算法的入侵检测研究 被引量：2

Research of intrusion detection based on improved algorithm of dynamic clonal
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摘要 针对动态克隆选择算法在入侵检测应用中存在的高误检率,提出了一种改进动态克隆选择算法。对改进算法进行了描述,建立了一种基于人工免疫的入侵检测模型,并进行了仿真验证。仿真结果表明,改进后的算法取得了低的误检率。 Aiming at high false positive rate of dynamic clonal selection algorithm applied in intrusion detection system（IDS）,an improved dynamic clonal selection algorithm is proposed.The improved dynamic clonal selection algorithm is described in detail. An IDS model is established based on artificial immune system,Simulation results indicate that the improved algorithm achieves low false positive rate.
作者 徐静 李永忠 赵博 杨鸽
机构地区 江苏科技大学电子信息学院
出处 《计算机工程与应用》 CSCD 北大核心 2008年第5期149-151,169,共4页 Computer Engineering and Applications
基金 江苏省教育厅/江苏科技大学科研基金资助项目(No.2005DX006J)
关键词 人工免疫 动态克隆选择算法 入侵检测系统 artificial immune dynamic clonal selection algorithm intrusion detection system
分类号 TP309 [自动化与计算机技术—计算机系统结构]
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参考文献7

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  • 7Kim J,Bentley.Towards an artificial immune system for network intrusion detection:an investigation of dynamic clonal selection[C]// Proceeding of the Congress on Evolutionary Computation,Honolulu,USA,2002:1015-1020.

同被引文献15

  • 1刘若辰,杜海峰,焦李成.一种免疫单克隆策略算法[J].电子学报,2004,32(11):1880-1884. 被引量：35
  • 2公茂果,焦李成,杜海峰,马文萍.用于约束优化的人工免疫响应进化策略[J].计算机学报,2007,30(1):37-47. 被引量：16
  • 3GONG Mao-guo, JIAO Li-cheng, DU Hai-feng, et al. Multiobjective immune algorithm with nondominated nelghbor-based selection [ J ]. Evolutionary Computation,2008,16(2) :225-255.
  • 4KIM J, BENTLEY P J. Towards an artificial immune system for network intrusion detection:an investigation of dynamic clonal selection [ C ]//Proc of Congress on Evolutionary Computation. Washington DC : IEEE Computer Society, 2002 : 1015 -1020.
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  • 6KIM J, BENTLEY P J. A model of gene library evolution in the dynamic clonal selection algorithm [ C ]//Proc of the 1st International Conference on Artificial Immune Systems. Berlin: Springer-Verlag, 2002:9-11.
  • 7KIM J,BENTLEY P J. Immune memory and gene library evolution in the dynamic clonal selection algorithm[ J]. Journal of Genetic Programming and Evolvable Machines,2004,5(4) :361-391.
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  • 9De CASTRO, Von ZUBEN. Learning and optimization using the clonal selection principle[ J]. IEEE Trans on Evolutionary Computation: Special Issue on Artificial Immune Systems, 2002,6 ( 3 ) : 239- 251.
  • 10DASGUPTA D, KRISHNA K, KUMAR D,et al. Negative selection algorithm for aircraft fault detection [ C ]//Proc of the 3rd International Conference on Artificial Immune Systems. Berlin: Springer, 2004:1- 13.

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计算机工程与应用
2008年 第5期

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