RBATMWSN: Recursive Bayesian Approach to Trust Management in Wireless Sensor Networks

This paper introduces a new trust model and a reputation system for wireless sensor networks based on a sensed continuous data. It establishes the continuous version of the beta reputation system and applied to binary events and presents a new Gaussian reputation system for sensor networks (GRSSN) . We introduce a theoretically sound Bayesian probabilistic approach for mixing second-hand information from neighbouring nodes with directly observed information.