期刊文献+

一种基于免疫原理的网络入侵检测系统 被引量:1

下载PDF
导出
摘要 文章提出了一种基于免疫原理的网络入侵检测系统,该系统在传统入侵检测方法的基础上加入基因库优化等策略,提高了系统的入侵检测效率和自适应性。同时,引入协同信号机制有效识别误操作,从而降低漏报率和误报率。
出处 《桂林航天工业高等专科学校学报》 2009年第2期142-145,共4页 Journal of Guilin College of Areospace Technology
基金 桂林航专2008年校级课题<基于免疫原理的网络入侵检测器生成算法的研究>阶段性成果之一
  • 相关文献

参考文献3

二级参考文献15

  • 1DENNIG D E. An Intrusion- detection Model [J]. IEEE Transactions on Software Engineering. 1987 ,SE- 13(2) :222-232.
  • 2MU KHERJEE B, HEBERLEIN L T, LEVITT K N. Network Intrusion Detection[ J]. IEEE Network, 1994,8 (3) :26 -41.
  • 3FORREST S, HOFMEYR S A. Immunlogy as Processing[A]. Design Priciples for Immune Systems&Other Distributed Autonomous Systems Segal L A. And Cohen I R.. Oxford Univ. Press,2000.
  • 4Marraek P, et al. How the Immune System Recognizes the Body[J]. Scientific American, 1993, 269(3) :85 -89.
  • 5Forrest S, Hofmeyr S, Somayaji A, Longstaff T. A sense of self for UNIX processes [C]. Proc of IEEE Symposium on Research in Security and Privacy. Oakland, CA, IEEEE.1996, 120-128.
  • 6Hofmeyr S A, Forrest S. Immunity by Design: An Artificial Immune System [C]. Proc. Of GECCO'99, 1999, 1289-1296.
  • 7Hofmeyr S A, Forrest S. Architecture for an Artificial Immune System. [D]. Submitted to Evolutionary Computation, 2000.
  • 8Farmer J D, Packard N H, Perelson A S. The Immune System, Adaptation, and Machine Learning [J]. Physics 22D, 1986, 187-204.
  • 9Lee S C, Heinbuch D V. Training a Neural network Based Intrusioon Detector to Recognize Nove Attacks [C]. IEEE Workshop Information Assurance and Security, West Point, NY, 2000.
  • 10Forrest S,Perelson A S.Self-nonself discrimination in a computer[J].IEEE Computer Society Symposium on Research in Security and Privacy,Proceedings,16-18 May 1994:202-212.

共引文献6

同被引文献5

引证文献1

二级引证文献1

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