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P. D’haeseleer and S. Forrest, “An immunological approach to change detection: Algorithm, analysis and implication,” in Proceedings of IEEE Symposium on Research in Security and Privacy, Oakland, pp. 110–119, 1996.

has been cited by the following article:

• TITLE: A Network Intrusion Detection Model Based on Immune Multi-Agent

  AUTHORS: Nian LIU, Sunjun LIU, Rui LI, Yong LIU

  KEYWORDS: Artificial Immune, Intrusion Detection, Multi-Agent System

  JOURNAL NAME: International Journal of Communications, Network and System Sciences, Vol.2 No.6, September 22, 2009

  ABSTRACT: A new network intrusion detection model based on immune multi-agent theory is established and the concept of multi-agents is advanced to realize the logical structure and running mechanism of immune multi-agent as well as multi-level and distributed detection mechanism against network intrusion, using the adaptability, diversity and memory properties of artificial immune algorithm and combing the robustness and distributed character of multi-agents system structure. The experiment results conclude that this system is working pretty well in network security detection.