An Immune Multi-agent System for Network Intrusion Detection

Authors:
Dian Gang Wang;Tao Li;Sun Jun Liu;Gang Liang;Kui Zhao
Affiliations:
School of Computer Science, Sichuan University, Chengdu, China 610065 and Sichuan Electric Vocational and Technical College, Chengdu, China 610072;School of Computer Science, Sichuan University, Chengdu, China 610065;School of Computer Science, Sichuan University, Chengdu, China 610065;School of Computer Science, Sichuan University, Chengdu, China 610065;School of Computer Science, Sichuan University, Chengdu, China 610065
Venue:
ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
Year:
2008

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Abstract

Inspired by the immune theory and multi-agent systems, an immune multi-agent system for network intrusion detection is established. The concept of immune agent is introduced. And its logical structure and running mechanism are established. This model implements the multi-layer and distributed mechanism for network intrusion detection. The experimental results show that the new model not only reduces the False-Negative rate and False-Positive rate effectively but also has the feature to adapt to continuous changing network environments.