Immunity and mobile agent based grid intrusion detection

  • Authors:
  • Xun Gong;Tao Li;Gang Liang;Tiefang Wang;Jin Yang;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:
  • ICIC'06 Proceedings of the 2006 international conference on Computational Intelligence and Bioinformatics - Volume Part III
  • Year:
  • 2006

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Abstract

This paper analyzes the unique characteristics of a grid environment and the deficiencies of current grid intrusion detection systems, and proposes a novel immunity and mobile agent based grid intrusion detection (IMGID) model. Then, the concepts and formal definitions of self, nonself, antibody, antigen and agent in the grid security domain are given. Furthermore, the mathematical models of self, mature MoA (mature monitoring agent) and dynamic memory MoA (memory monitoring agent) survival are established. Our theoretical analysis and experimental results show that the model is a good solution to grid intrusion detection.