An Agent-Based Knowledge System for Intrusion Detection
نویسنده
چکیده
In this paper we propose a framework for intrusion detection called Fuzzy Agent-Based Intrusion Detection System . A unique feature of this model is that the agent uses the fuzzy logic to process log files. This reduces the overhead in a distributed intrusion detection system. We have developed an agent communication architecture that provides a prototype implementation. This paper discusses the issues of combining intelligent agent technology with the intrusion
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