DocumentCode
3511328
Title
Application of BPNN in Intrusion Decision for IIDDRS
Author
Kai, Hongmei ; Zhu, Hongbing ; Eguchi, Kei
Author_Institution
Hiroshima Kokusai Gakuin Univ., Hiroshima
fYear
2008
fDate
1-3 Nov. 2008
Firstpage
305
Lastpage
308
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICINIS.2008.65
Filename
4683226
Link To Document