期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

基于检测器覆盖率评估的否定选择算法 被引量：2

A novel negative selection algorithm using detector's coverage evaluation
原文传递
导出
摘要 分析了检测器数目对检测性能的影响,构造了一种基于检测器覆盖率评估的否定选择算法;为了进一步减少冗余检测器,提出了一种检测器集优化方法.仿真实验表明,本文算法能够在保证较高检测率的前提下,降低检测器集规模,从而提供了良好的检测效率,具有较好的理论价值和工程应用价值. After the effects of detectors on detection performance coverage were studied, a novel negative selection algorithm （NSA） based coverage evaluation was designed. The optimization of detectors was put forward to get rid of redundant detectors. Simulation tests show that the revisited NSA can reduce the number of detectors without reducing detecting rate, and has advantages of good performance, and applying prospect.
作者 朱思峰 刘芳 柴争义
机构地区 西安电子科技大学计算机学院 周口师范学院数学与信息科学系
出处 《华中科技大学学报（自然科学版）》 EI CAS CSCD 北大核心 2009年第12期52-55,共4页 Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金 国家自然科学基金资助项目(60133018 60372046) 河南省自然科学基金资助项目(082400440260)
关键词 否定选择算法 人工免疫系统 异常检测 闯值可变模糊匹配 覆盖率评估 检测器优化 negative selection algorithms artificial immune systems anomaly detection fuzzy matching rule with r-adjustable coverage evaluation detector optimization
分类号 TP18 [自动化与计算机技术—控制理论与控制工程]
  • 相关文献

参考文献11

  • 1Forrest S, Perelson A S, Allen L. Self-nonself discrimination in a computer[C]// Proceedings of the 1994 IEEE Symposium on Security and Privacy. Oakland: Springer-Verlag, 1994: 202-212.
  • 2Ji Z, Dasgupta D. Revisiting negative selection algorithm[J]. Evolutionary Computation Journal, 2007, 15(2) : 123-139.
  • 3张衡,吴礼发,张毓森,曾庆凯.一种r可变阴性选择算法及其仿真分析[J].计算机学报,2005,28(10):1614-1619. 被引量：43
  • 4罗文坚,曹先彬,王煦法.检测器自适应生成算法研究[J].自动化学报,2005,31(6):907-916. 被引量：17
  • 5Esponda F, Ackley E S. Online negative databases [C] // Proceedings of Third International Conference on Artificial Immune Systems (ICARIS 2004 ). Shanghai: Springer-Verlag, 2004: 175-188.
  • 6Esponda F, Forrest S. A formal framework for positive and negative detection schemes[J]. IEEE Transactions on System, Man, and Cybernetics, 2004, 34: 357-373.
  • 7Ji Z. Negative selection algorithms: from the thymus to V-detector [D]. Memphis: Memphis University Press, 2006.
  • 8Balachandran S, Dasgupta D. A general framework for evolving multi-shaped detectors in negative selection[J]. Evolutionary Computation Journal, 2006, 14(3) :43-69.
  • 9Ji Z, Dasgupta D. V-detector: an efficient negative selection algorithm with "probably adequate" detector coverage[C] // Proceedings of the 2008 IEEE Information Science on Artificial Immune Systems. New York: IEEE, 2008: 135-151.
  • 10Hawkins C A, Weber J E. Statistical analysis-applications to business and economics[M]. New York: Harper & Row Publishers, 1980.

二级参考文献12

  • 1龙振洲.医学免疫学[M].北京:人民卫生出版社,1995..
  • 2Forrest S., Hofmeyr S.A.. Immunology as information processing. In: Segel L.A., Cohen I. eds.. Design Principles for the Immune System and Other Distributed Autonomous Systems. New York: Oxford University Press, 2000, 361～387.
  • 3Hofmeyr S.A., Forrest S.. Immunity by design: An artificial immune system. In: Proceedings of the Genetic and Evolutionary Computation Conference,San Francisco,CA,1999,1289～1296.
  • 4Forrest S., Hofmeyr S.A., Somayaji A., Longstaff T.A.. A sense of self for unix processes. In: Proceedings of the 1996 IEEE Symposium on Security and Privacy, Los Alamitos, CA, 1996, 120～128.
  • 5Forrest S., Perelson A.S., Allen L., Cherukuri R.. Self-nonself discrimination in a computer. In: Proceedings of the 1994 IEEE Symposium on Security and Privacy, Los Alamitos, CA, 1994, 202～212.
  • 6D'haesseleer P., Forrest S.. An immunological approch to change detection algorithms analysis and implications. In: Proceedings of the 1996 IEEE Symposium on Security and Privacy, Los Alamitos, CA, 1996, 110～119.
  • 7D'haesseleer P.. Further efficient algorithms for generating antibody string. The University of New Mexico, Albuquerque, NM: Technical Report CS95-03, 1995.
  • 8Percus J.K., Percus O., Perelson A.S.. Probability of self-nonself discrimination. In: Perelson A.S., Weisbuch G. eds.. Theoretical and Experimental Insights into Immunology. New York: Springer-Verlag Press, 1993, 63～70.
  • 9Percus J.K., Percus O., Perelson A.S.. Predicting the size of the antibody-combining region from considering of efficient self/nonself discrimination. In: Proceedings of the National Academy of Science, Washington, 1993, 1691～1695.
  • 10Hofmeyr S.A.. An immunological model of distributed detection and its application to computer security[Ph.D. dissertation]. University of New Mexico, Albuquerque, NM, 1999.

共引文献51

同被引文献19

  • 1魏春英,刘培玉.一种基于生物免疫学原理的入侵检测方法[J].计算机技术与发展,2006,16(2):226-228. 被引量：3
  • 2何申,罗文坚,王煦法.一种检测器长度可变的非选择算法[J].软件学报,2007,18(6):1361-1368. 被引量：24
  • 3FORREST S, PERELSON A S, ALLEN L, et al. Self- Nonself discrimination in a computer [ C ]//Proceedings of IEEE Symposium on Research in Security and Privacy. Oakland CA, USA: the IEEE Computer Society Press, 1994:202-212.
  • 4HAESELEER P D, FORROEST S, HELMAN P. An immunological approach to change detection: algorithms, analysis and implications [C]//Proceedings of the IEEE Sysposium on Secutity and Privacy. Los Alamitos, CA, USA :the IEEE Computer Society Press, 1996.
  • 5Bereta M,Burczy'nski T. Comparing binary and re- al-valued coding in hybrid immune algorithm for fea- ture selection and classification of ecg signals[J]. Eng Appl Artif Intell, 2007,20(5):571-585.
  • 6Gonzdlez F, Dasgupta D, Kozma R. Combining negative selection and classification techniques for a- nomaly detection[C]//Proceedings of the 2002 Con- gress on Evolutionary Computation CEC2002. USA:IEEE Press,2002:705-710.
  • 7Gonzdlez F A,Dasgupta D. Anomaly detection using real-valued negative selection[J]. Journal of Genetic Programming and Evolvable Machines, 2003,4 (4) : 383-403.
  • 8Gonzdlez F, Dasgupta D, Nifio L F. A randomized rea-valued negative selection algorithm[J]. Lecture Notes in Computer Science,2003,2787:261-272.
  • 9Zhou Ji, Dasgupta D. Real valued negative selection algorithm with variable-sized detectors [C]//Pro- ceedings of GECCO. Berlin: Springer, 2005: 287- 298.
  • 10Zhou Ji. A boundary-aware negative selection algorithm [C] // IASTED International Conference on Artificial Intelligence and Soft Computing (ASC), Benidorm, Spain, 2006:45-50.

引证文献2

二级引证文献12

华中科技大学学报（自然科学版）
2009年 第12期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部