Robust and Accurate Trust Establishment Scheme for Wireless Sensor Network

The success of the mission assigned to a Wireless Sensor Network (WSN) depends heavily on cooperation between nodes this network. Indeed, given vulnerability wireless sensor networks attack, some entities may engage in malicious behavior aimed at undermining proper functioning As result, selection reliable for task execution becomes necessity To improve and security networks, use Trust Management Systems (TMS) is increasingly recommended due their low resource consumption. various existing trust management systems differ methods estimating value. ones are very rigid not accurate. In paper, we propose robust accurate method (RATES) compute direct indirect network nodes. RATES model, trust, Bayesian formula by applying chaining values, local reward, penalty flexible global based variation successful interactions, failures misbehaviors frequency. thus manages obtain value that representative node addition, introduce establishment simple confidence interval filter out biased recommendations sent disrupt estimation node's trust. Mathematical theoretical analysis evaluation simulation results show best performance our approach detecting on-off attacks, bad-mouthing attacks persistent compared other approaches.