An immune mobile agent based grid intrusion detection model

  • Authors:
  • Xun Gong;Tao Li;Tiefang Wang;Jin Yang;Sunjun Liu;Gang Liang

  • Affiliations:
  • School of Computer Science, Sichuan Univ., Chengdu, China;School of Computer Science, Sichuan Univ., Chengdu, China;School of Computer Science, Sichuan Univ., Chengdu, China;School of Computer Science, Sichuan Univ., Chengdu, China;School of Computer Science, Sichuan Univ., Chengdu, China;School of Computer Science, Sichuan Univ., Chengdu, China

  • Venue:
  • SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
  • Year:
  • 2006

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Abstract

This paper proposes a novel immune mobile agent based grid intrusion detection (IMGID) model, and gives the concepts and formal definitions of self, nonself, antibody, antigen, agentand match algorithm in the grid security domain. Then, the mathematical models of mature MoA (monitoring agent) anddynamic memory MoAsurvival are improved. Besides, effects of the important parameter P in the models of dynamic memory MoA survival on system performance are showed. Our theoretical analyses and the experiment results show the model that enhances detection efficiency and assures steady performance is a good solution to grid intrusion detection.