Trust Based Misbehavior Detection in Wireless Sensor Networks

III. Problem Statement This paper focuses on modeling and calculating trust between nodes in WSNs, based on sensed continuous data to address security issues and deal with malicious and misbehavior nodes and for assisting the decision-making process. A new trust model and a reputation system for WSNs can be proposed. The trust model establishes the continuous version of the reputation system applied to binary events and presents a new trust and reputation system for sensor Networks. This approach for mixing of second hand information from neighboring nodes with directly observed information to calculate trust between nodes in WSNs. Trust metrics can be used to evaluate the trust value of each node in the clusters. Behaviors are monitored by monitoring node (MN). Monitoring node selected at the next higher level of CH, this can also be changed dynamically along with CH. The main focus of this paper is to develop a fuzzy theory based trust and reputation model for WSNs environment. IV. System Model A. Architecture The architecture of our proposed system, consists of four major blocks namely, i. Cluster Formation and CH selection ii. Information Gathering iii. Trust Evaluation and Propagation iv. Misbehavior Detection The detailed description about the architecture is as follows. Fig. 2. Overall Architecture of the Proposed System Fig.2. shows the overall architecture of the proposed work. 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