Adaptive Ensemble Multi-Agent Based Intrusion Detection Model

Heavy reliance on the Internet has greatly increased the potential damage that can be inflicted by remote attacks launched over the Internet. It is difficult to prevent such attacks by security policies, firewalls, or other mechanisms. The computer system and the applications always contain unknown weaknesses or bugs attackers continually exploit them. Intrusion Detection Systems (IDS) are designed to detect attacks, which inevitably occur despite security precautions. A powerful IDS is flexible enough to detect novel attacks (i.e. it has the ability to generalize). The accuracy of the IDS depends on the false positive rate and the false negative rate measuring criteria. False positive rate calculates the rate of events that are considered to be intrusions where they are in fact normal events. However, ABSTRACT

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