Effective and Prominent Approaches for Malicious Node Detection in MANET

A mobile ad hoc network, abbreviately called as MANET, is an infrastructure-less network of mobile nodes connected wirelessly in a self-configuring, self-organizing manner. Because of the fact that MANETs can be effectively used in crucial applications like disaster relief operations and rescue operations, it has gained the attention of research community. But due to on-the-fly characteristics, MANETs are highly vulnerable to security attacks. Since the presence of attacker nodes degrades the performance of MANET, special considerations are required to enhance the performance of the network by developing more sophisticated techniques to detect and eliminate these attacks from the network. This paper focuses on the study of existing traditional and machine learning approaches which helps in identifying the presence of malicious nodes in MANET.