An Autonomic Intrusion Detection Model with Multi-Attribute Auction Mechanism

Abstract

We present an innovative intrusion detection model based on autonomic computing to extend the passive detection mechanism in a traditional intrusion detection system (IDS). Centered on an autonomic manager, this model introduces a multi-attribute auction mechanism in the agent coordination layer to perceive environmental changes, manage and allocate resources, and achieve an active response to intrusions or attacks. Experimental results show that the model can improve the adaptability and detection accuracy of the IDS effectively, through its rational parameter configuration capability.

Xulong Zhang

Executive Director

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