Detecting packet dropping nodes using machine learning techniques in Mobile ad-hoc network: A survey
Deficiency of infrastructure and dynamic nature of MANET attracts interloper to launch attack, one of them is flooding. Reactive routing for example AODV is more popular than proactive routing as it uses flooding to find out route. In this technique, attackers launch DoS attack like flooding, black hole and gray hole which are the recognized attacks in MA-NET. In this paper we have proposed a new method based on AODV behavioral metrics detect and prevent MANET flooding attacks. In this method we have used the PDER, CO and PMIR as metrics to prediction of flooding attacks. Our proposed method will be implementing on NS-3 test bed.