Proposing A Distributed Model For Intrusion Detection In Mobile Ad-Hoc Network Using Neural Fuzzy Interface
Publish place: Journal of Advances in Computer Research، Vol: 2، Issue: 2
Publish Year: 1390
Type: Journal paper
Language: English
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Document National Code:
JR_JACR-2-2_007
Index date: 6 September 2016
Proposing A Distributed Model For Intrusion Detection In Mobile Ad-Hoc Network Using Neural Fuzzy Interface abstract
Security term in mobile ad hoc networks has several aspects because of thespecial specification of these networks. In this paper a distributed architecture wasproposed in which each node performed intrusion detection based on its own and itsneighbors’ data. Fuzzy-neural interface was used that is the composition of learningability of neural network and fuzzy Ratiocination of fuzzy system as our architectureengine. Our scrutiny showed that fuzzy-neural interface had a good ability forseparating normal data from abnormal. The ability of proposed architecture wasevaluated in accuracy and overhead case.
Proposing A Distributed Model For Intrusion Detection In Mobile Ad-Hoc Network Using Neural Fuzzy Interface Keywords:
Proposing A Distributed Model For Intrusion Detection In Mobile Ad-Hoc Network Using Neural Fuzzy Interface authors
Meisam Yadollahzadeh
Department of Computer Engineering, Nour Branch, Islamic Azad University, Nour, Iran
Hamid Hassanpour
Department of Computer Eng. & IT, Shahrood University of Technology,Shahrood,Iran
Ali Movaghar
Department of Computer Engineering, Sharif University of Technology,Tehran, Iran