期刊文献+

受危险理论启发的网络安全评估方法

THE DANGER THEORY INSPIRED APPROACH TO NETWORK SECURITY ASSESSMENT
下载PDF
导出
摘要 危险理论在人工免疫系统(AIS)领域是一个相对较新的研究方向。该理论提出了不同于传统自我—非我模型的新观点。它解释了传统人类免疫系统(H IS)理论中存在的问题,促进了人工免疫系统的发展。介绍了危险理论涉及的内容及其应用,然后构建了一个用于安全评估的多Agent融合模型,并将危险理论应用于安全评估中。 Danger Theory is a relative new research subject in Artificial Immune System (AIS). It presents new viewpoint different from traditional self and non-self model It explains the problems in traditional theory of Human Immune System (HIS) and improves the AIS. This paper describes the principle and several applications of Danger Theory. Then it builds a muhi-agent fusion model for security assessment and applies Danger Theory to security assessment.
出处 《计算机应用与软件》 CSCD 北大核心 2006年第11期111-113,共3页 Computer Applications and Software
关键词 危险理论 人工免疫系统 安全评估 Danger theory Artificial immune system Security assessment
  • 相关文献

参考文献9

  • 1deCastro, L. N. , & Timmis,J. Artificial Immune Systems: A New Computational Intelligence Approach[M]. Springer. 2002.
  • 2Matzinger P. Tolerance Danger and the Extended Family [J]. Annual Review of Immunology, 1994,12:911-1045.
  • 3Aickelin. U, & Cayzer. S. The Danger Theory and Its Application to Artificial Immune Systems [A]. In proceedings of The First International Conference on Artificial Immune Systems (ICARIS 2002) [C]. Canterbury UK,2002,141-148.
  • 4Andrew. S,Alex. A and Jon. T. A Danger Theory Inspired Approach to Web Mining[A]. In Proceedings of International Conference on Artificial Immune Systems (ICARIS 2003) [C]. Springer LNCS2787,2003,156-167.
  • 5Anjum. I & Mohd Aizani. M. Towards Danger Theory Based Artificial APC Model:Novel Metaphor for Danger Susceptible Data Codons [A].In Proceedings of International Conference on Artificial Immune Systems(ICARIS 2004) [C]. Springer LNCS 3230. 2004,161-174.
  • 6Matzinger. P. The Danger Model : A Renewed Sense of Self [J]. Science.2002,296,301-305.
  • 7Aicklein U, Bentley, Cayser Set al. Danger Theory: The Link between AIS and IDS [A],In Proceedings of the International Conference on Artificial Immune Systems (ICARIS 2003) [C]. Springer LNCS 2787,2003.
  • 8V. Gorodetski, O. Karsaeyv, V. Samoilov. Multi-agent Data and Information Fusion System [EB/OL]. http://space.iias. spb. su/ai/publications/asi-03. pdf. 2004.
  • 9T. Bass. Intrusion Detection Systems And Multisensor Data Fusion [J].Communications of the ACM ,2000,43 (4):499-505.

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