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A Network Intrusion Detection Model Based on Immune Multi-Agent

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Author(s): Nian LIU | Sunjun LIU | Rui LI | Yong LIU

Journal: International Journal of Communications, Network and System Sciences
ISSN 1913-3715

Volume: 02;
Issue: 06;
Start page: 569;
Date: 2009;
Original page

Keywords: Artificial Immune | Intrusion Detection | Multi-Agent System

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.

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