期刊文献+

一种基于生物免疫原理的入侵检测新模型 被引量:1

A new intrusion detection model based on biological immune principle
下载PDF
导出
摘要 入侵检测系统可以从生物免疫系统的很多特点中得到启发,文中利用生物免疫原理设计了一个新的入侵检测框架模型,该框架在传统信息传输网基础上构建了免疫淋巴网,用来监控和管理传统传输网的行为。模型中还应用了阴性选择、克隆选择等免疫算法,使得该模型对于入侵检测问题有较好的敌我识别功能。 The design of an intrusion detection system can be based on many characters of biological immune systems. In this paper, a new intrusion detection framework is designed by biological immune principles. The framework constructs an immune lymph network under the traditional transmission network to monitor and control its behaviors. The immune algorithms of negative and clone selections are utilized to make the system more alert to invading attacks.
出处 《海军工程大学学报》 CAS 北大核心 2007年第3期26-30,共5页 Journal of Naval University of Engineering
基金 国家863计划项目(2005AA733120-1)
关键词 人工免疫系统 入侵检测 阴性选择 克隆选择 artificial immune system intrusion detection negative selection clone selection
  • 相关文献

参考文献7

  • 1SOMAYAJI A, HOFMEYR S, FORREST S. Principles of a Computer Immune System [M]. Charlottsville, VA, USA: New Security Paradigms Workshop, 1998.
  • 2FORREST S, HOFMEYR S A, SOMAYAJI A. Computer Immunology [J]. Communication of the ACM, 1997, 40(10):88--96.
  • 3KIM J, BENTLEY P. An Evaluation of negative selection in an artificial immune system for network intrusion detection [C]// Proc. of Genetic and Evolutionary Computation Conference (GECCO'01). San Francisco: Springer, 2001.
  • 4KIM J, BENTLEY P. Immune memory in the dynamic clonal selection algorithm [C]// Proc. of the 1st International Conference on Artificial Immune Systems. Canterbury, UK: ACM, 2002.
  • 5DASGUPTA D, FORREST S. Novelty detection in time series data using ideas from immunology [C]// Proc. of the International Conference on Intelligent Systems. Mexico, Cancun: Springer,1999.
  • 6魏春英.基于免疫原理的入侵检测技术研究[M].济南:山东师范大学,2006.
  • 7HOFMEYR S, FORREST S. Immunity by design [C]// Proceedings of GECCO. Orlando, Florida : Springer, 1999.

同被引文献4

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