期刊文献+

基于免疫机制的入侵检测器生成的研究

The Algorithm of Detectors Generating in Intrusion Detection System based on Artificial Immune Theory
下载PDF
导出
摘要 为了提高基于人工免疫入侵检测系统中有效检测器的生成和检测效率,通过对传统检测器生成算法的研究,结合传统阴性选择算法和缩小检测器长度的方法,提出了一种新的检测器生成算法。实验证明该算法生成的检测器在保证了检测准确性的同时减少了检测所需的时间。 In order to enhance the create efficiency and detect efficiency of the detectors in IDS which based on Artificial Immune System. According to the research of the traditional create arithmetic of detector, integrate the traditional negative selection arithmetic and the method of shorten detectors, this paper advance a new arithmetic for detector creating. The experiments show that detectors created by this arithmetic can reduce the time of detecting and ensured the veracity of detecting at the same time.
出处 《电脑开发与应用》 2007年第8期22-23,28,共3页 Computer Development & Applications
关键词 免疫 入侵检测 反向选择 SELF集 有效检测器 immune,intrusion detection,negative selection,self set,valid detector
  • 相关文献

参考文献1

二级参考文献35

  • 1[英]PM利迪亚德 A惠兰 M W范杰.林慰慈 薛彬 魏雪涛译.免疫学[M].北京:科学出版社,2001..
  • 2D' haesdeer. An immunological approach to change detection: Theoretical results. In: The 9th IEEE Computer Security Foundations Workshop. Los Alamitos, CA: IEEE Computer Society Press, 1996.
  • 3Dasgupta. An immune agent architecture for intrusion detection.GECCO 2000, Las Vegas, Nevada, USA, 2000.
  • 4Dasgupta. Immunity-based intrusion detection systems: A general framework. The 22nd National Information Systems Security Conf(NISSC), 1999. ftp://ftp, msci. memphis, edu/comp/dasgupta/papers/Immune-IDS, pdf.
  • 5Dasgupta, Gonzalez. An immunogenetic approach to intrusion detection. The University of Memphis, Tech Rep: CS-01-001,2001.
  • 6Dasgupta, Nino. A comparison of negative and positive selection algorithms in novel pattern detection. The IEEE Int'1 Conf on Systems, Man and Cybernetics (SMC), Nashville, 2000.
  • 7Kim, Bentley. The artificial immune model for network intrusion detection.The 7th EUFIT' 99, Aachen, Germany, 1999.http://www. es. ucl. ac. uk/staff/J. Kim/pub/EUFITaimmune. ps.
  • 8Kim, Bentley. The human immune system and network intrusion detection.The 7th EUFIT' 99, Aachan, Germany, 1999. http://www. cs. ud. ac. uk/staff/J. Kim/pub/EUFIThimmune. ps.
  • 9Kim, Bentley. Negative selection and niching by an artificial immune system for network intrusion detection. GECCO'99,Orlando, Florida, 1999. http://www, cs. ucl. ac. uk/staff/J. Kim/pub/GECCOLateBreak99. ps.
  • 10Kim, Bentley. Investigating the roles of negative selection and clonal selection in an artificial immune system for network intrusion detection. The Special Issue on Artificial Immune Systems in IEEE Transactions of Evolutionary Computation, 2001.

共引文献30

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