Grid intrusion detection based on immune agent

  • Authors:
  • Xun Gong;Tao Li;Tiefang Wang;Jin Yang;Gang Liang;Xiaoqin Hu

  • 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:
  • ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
  • Year:
  • 2006

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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.