Fuzzy Reputation Based Trust Mechanism for Mitigating Attacks in MANET

Mobile Ad-hoc Networks (MANET) usage across the globe is increasing by day. Evaluating a node’s trust value has significant advantages since such network applications only run efficiently involving trustable nodes. The values are estimated based on reputation of each node in using different mechanisms. However, these mechanisms have various challenging issues which degrade performance. Hence, novel Quality Service (QoS) Trust Estimation with Black/Gray hole Attack Detection approach proposed this research work. Initially, QoS-based estimation Fuzzy logic scheme. determined fuzzy membership function and utilizing QoS parameters as residual energy, bandwidth, mobility, reliability. This mechanism prevents black attack during transmission. But, gray attacks not identified turn increases packet drop rate significantly. also detected Kullback-Leibler (KL) divergence method used for estimating statistical measures. Additional metrics considered to prevent attack, loss, delivery ratio, delay node. Thus, both simultaneously. Finally, simulation results show that effectiveness compared other trust-aware routing protocols MANET.