Title :
Application of BPNN in Intrusion Decision for IIDDRS
Author :
Kai, Hongmei ; Zhu, Hongbing ; Eguchi, Kei
Author_Institution :
Hiroshima Kokusai Gakuin Univ., Hiroshima
Abstract :
Neural networks have good learning and associative memory abilities have been widely applied to various fields. In this paper, we employed the back propagation neural network (BPNN) to replace the fuzzy methods of the Intelligent intrusion detection, decision, response system (IIDDRS) 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.
Keywords :
backpropagation; fuzzy reasoning; knowledge based systems; neural nets; security of data; associative memory ability; backpropagation neural network; fuzzy inference; fuzzy rule-base method; intelligent intrusion detection-decision-response system; learning ability; Associative memory; Backpropagation; Data processing; Flowcharts; Fuzzy neural networks; Fuzzy systems; Intelligent networks; Intrusion detection; Neural networks; Surveillance;
Conference_Titel :
Intelligent Networks and Intelligent Systems, 2008. ICINIS '08. First International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3391-9
Electronic_ISBN :
978-0-7695-3391-9
DOI :
10.1109/ICINIS.2008.65
