Application of BPNN in Intrusion Decision for I 2 D 2 RS
Hongmei Kai, Hongbing Zhu, Kei Eguchi · 2008
Neural networks have good learning and associative memory abilities have been widely applied to various fields. In this paper, we employed the Backpropagation Neural Network (BPNN) to replace the fuzzy methods of the Intelligent Intrusion Detection, Decision, Response System (I 2 D 2 RS) [1] to decide the intrusion. Through this improvement the processing of the system was simplified and the performance of the system was enhanced in the Intrusion Decision. The efficiency of these improvements was confirmed with the experiments.