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Grid Intrusion Detection Based on Immune Agent

  • Xun Gong
  • Tao Li
  • Tiefang Wang
  • Jin Yang
  • Gang Liang
  • Xiaoqin Hu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4222)

Abstract

This paper proposes a novel grid intrusion detection model based on immune agent (GIDIA), 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 (mature monitoring agent), and dynamic memory MoA (memory monitoring agent) survival are established. Besides, effects of the important parameter T in the model of mature MoA on system performance are showed. Our theoretical analysis and experimental results show that the model that has higher detection efficiency and steadier detection performance than the current models is a good solution to grid intrusion detection.

Keywords

Intrusion Detection Intrusion Detection System Artificial Immune System Monitoring Agent Immune Agent 
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
  • Gang Liang
    • 1
  • Xiaoqin Hu
    • 1
  1. 1.School of Computer ScienceSichuan Univ.ChengduChina

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