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The main idea of this paper is to propose a new solution for a wireless intrusion detection prevention system (WIDPS). The proposed WIDPS has a high degree of autonomy in tracking suspicious activity and detecting positive intrusions. Our focus was the reduction of detected false positive intrusion by implementing adaptive self-learning neural net in the system. Once it is fully developed and tested, this WIDPS would enable real-time response against threats, even to zero-day attacks.
Date of Conference: 26-28 Sept. 2007