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 the special specification of these networks. in this paper a distributed architecture was proposed in which each node performed intrusion detection based on its own and its neighbors’ data. fuzzy-neural interface was used that is the composition of learning ability of neural network and fuzzy ratiocination of fuzzy system as our architecture engine. our scrutiny showed that fuzzy-neural interface had a good ability for separating normal data from abnormal. the ability of proposed architecture was evaluated in accuracy and overhead case.