Implementation of a Hybrid Intrusion Detection System Using Fuzzyjess
نویسندگان
چکیده
This paper describes an implementation of a fuzzy inference engine that is part of a Hybrid Fuzzy Logic Intrusion Detection System. A data-mining algorithm is used offline to capture features of interest in network traffic and produce fuzzy-logic rules. Using an inference engine, the intrusion detection system evaluates these rules and gives network administrators indications of the firing strength of the ruleset. The inference engine implementation is based on the Java Expert System Shell (Jess) from Sandia National Laboratories and FuzzyJess available from the National Research Council of Canada. Examples and experimental results using data sets from MIT Lincoln Laboratory demonstrate the potential of the approach.
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