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一种改进的变阈值阴性选择免疫算法

, PP. 78-82

Keywords: 阴性选择,优先搜索,检测元集,黑洞

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Abstract:

成功确定一个最有效检测元集是提高免疫阴性选择算法性能的关键步骤,它直接影响到系统的效率和准确度.利用模糊思想,提出了一种生成最有效检测元集的变阈值阴性选择免疫算法.采用最优搜索原理,有效提高了待检测的检测元成为成熟检测元的概率;匹配阈值可变,可大幅降低黑洞数量.仿真结果表明,该算法与原算法相比,具有较高的检测率和较少的黑洞数量,算法具有较强的鲁棒性.

References

[1]  Hofmeyr S,Forrest S. Immunity by design: An artificial immune system[C]/ / Wolfgan B,Jason M D,et al,eds. Proc of the Genetic and Evolutionary Computation Conf. San Francisco: Morgan Kaufman Publishers,1999.
[2]  De Castro L N,Timmis J. Artificial Immune Systems: A New Computational Intelligence Approach[M]. Heidelberg: Springer- Verlag,2002.
[3]  Kelsey J,Hender S B,Seymour R M. A stochastic model of the interleukin ( IL) 21 B network [C]/ /Proceeding of the 7th International Conference on Artificial Immune Systems. Phuket: Springer,2008: 1 211.
[4]  Andrews P S,Timm I S J. Adaptable lymphocytes for artificial immune systems[C]/ /Proceeding of the 7th International Conference on Artificial Immune Systems. Phuket: Springer,2008: 3 762 386.
[5]  张宇. 人工免疫系统中阴性选择算法的研究[D]. 杭州: 浙江大学电气工程学院,2007. Zhang Yu. Research on negative selection algorithm of artificial immune system[D]. Hangzhou: School of Electrical Engineering, Zhejiang University,2007. ( in Chinese)
[6]  周建国. 网络入侵检测的免疫学建模及其仿真研究[D]. 北京: 北京航空航天大学计算机学院,2002. Zhou Jianguo. Immunological moding of network intrusion detection & its simulate research [D]. Beijing: School of Computer, Beijing University of Aeronautics and Astronautics,2002. ( in Chinese)
[7]  Hofmeyr S A. An immunological model of distributed detection and its application to computer security[D]. Albuquerque, NM: Computer Science Department,University of New Mexico,1999.
[8]  D’haesseleer P. Further efficient algorithms for generating antibody string,Technical Report CS95-03[R]. New Mexico: The University of New Mexico,1995.

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