Intrusion Detection Model in MANETs using ANNs and ANFIS

In recent years, different approaches are implemented to improve the security level of Mobile Ad hoc Networks. The aim of this research is to design a mechanism of intrusion detection for this Network to provide a security framework to detect an especial security attack. In a type of attack , considered in this research, an intruder node injects a large amount of junk packets into the network and causes a denial in the services of the attacked node to the network. The model is developed using 2 method of detection - ANFIS and ANNs - in a simulated environment. It is showed that almost all of models can detect Dos attack effectively. Keyw ords: Mo bile Ad hoc Network, Intrusion Detection, Denial o f Service Attack , Artificial neural networks (ANNs), Adaptive Neuro-Fuzzy Inferences System(ANFIS).

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