An intrusion detection and avoidance mechanism to secure MANETs

Abstract

Maximum of research study in securing mobile adhoc networks (MANETs) has motivated on suggestions which detect and inhibit a particular kind of attack such as sleep deprivation, blackhole, greyhole and rushing attacks. In this paper we propose a generalized intrusion detection and avoidance mechanism. We use an arrangement of anomaly based and knowledge-based intrusion detection. This methodology not only secures MANET from an extensive range of routing assaults but also has the proficiency to detect new unexpected attacks. Simulation outcomes of a case study show that our suggested mechanism can successfully distinguish a variety of attacks, comprising multiple concurrent dissimilar attacks, detect and separate the intruders with an reasonable network overhead.