Intrusion Detection System Based on Genetic Algorithm for Detection of Distribution Denial of Service Attacks in MANETs

Abstract

Mobile ad hoc networks (MANETs) are more susceptible towards security attacks because of its complicated characteristics i.e. lack of clear boundary of defense, no centralized points and dynamic topologies. Due to MANET characteristics, detection of attacks are more difficult than the traditional networks. One of very significant attack is distributed denial of service attack (DDoS) in MANETs. This attack may restrict the availability of the network resources. This paper focuses to develop an intrusion detection system using genetic algorithm for DDoS attacks in MANETs. The implementation results present that the proposed intrusion detection system which is based on genetic algorithm can able to detect the DDoS attacks on MANETs with a good detection rates.

Keywords: Genetic Algorithm, Mobile Ad Hoc Networks, Distributed Denial of Service Attack, Intrusion Detection System