Implementation of neural networks for intrusion detection in manet

A MANET is a collection of mobile nodes that organize themselves into a network without any predefined infrastructure or centralized operation management and because of its especial features, is vulnerable to security attacks. In recent years, different approaches are implemented to improve the security level of MANET. The aim of this paper is to design a mechanism of intrusion detection in the MANET on the basis of artificial neural networks (ANNs) to detect Dos attacks. In a type of DOS attack, considered in this paper, an intruder node injects a large amount of junk packets into the network and causes a denial in the services of the attacked node. Using a simulated MANET environment, ANNs modeling for detecting the DOS attack is investigated and it is showed that model can detect nodes under Dos attack effectively.

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