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An Immune Mobile Agent Based Grid Intrusion Detection Model

  • Xun Gong
  • Tao Li
  • Tiefang Wang
  • Jin Yang
  • Sunjun Liu
  • Gang Liang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4247)

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, agent and 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.

Keywords

Intrusion Detection Mobile Agent Intrusion Detection System Artificial Immune System Inverse Proportion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Xun Gong
    • 1
  • Tao Li
    • 1
  • Tiefang Wang
    • 1
  • Jin Yang
    • 1
  • Sunjun Liu
    • 1
  • Gang Liang
    • 1
  1. 1.School of Computer ScienceSichuan Univ.ChengduChina

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