Identifying Misbehaving Nodes Using Evidence Calculation IDs In MANETs

A Mobile Ad Hoc Network (MANET) is a dynamic wireless network, in which each node communicate with each other without the use of pre-existing infrastructure or centralized administration. Many other applications like law enforcement, public meeting, virtual class room and some military applications  has been using MANETs. It has been highly vulnerable to attacks due to the dynamic nature of its network infrastructure. Here Routing Attacks have caused the most devastating damage to Manet. Earlier system typically attempt to isolate malicious nodes based on naive and binary fuzzy response decisions which may results in the unexpected network partition and could lead to uncertainty in countering routing attacks. In this paper, we propose risk-aware response mechanism with evidence calculation intrusion detection system to systematically cope with the identified routing attacks in Manet,  which is based on the extended Dempster-Shafer Mathematical Theory of Evidence and articulate expected properties for Dempster’s rule of combination with important factors (DRCIF), to measure the risk of attacks and countermeasures.