Proposing A Distributed Model For Intrusion Detection In Mobile Ad-Hoc Network Using Neural Fuzzy Interface

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.

Keywords:

Mobile ad-hoc network , security , attack , intrusion detection , neural-fuzzy interface