A Data-Centric Trust Evaluation Mechanism in Wireless Sensor Networks

New generation wireless sensor networks are demanding in in-time updating. Traditional trust evaluation is based entities and needs lengthy time to establish. The data security would be neglected in entity-based sensor networks. False data is another problem because it is hard to be filtered in these entity-based trust mechanisms. The propagation of false data and redundant information wastes a lot of system energy. This paper proposes a new notion to address these challenges: data-centric trust evaluation mechanism (DTSN) and a new method: Proof-of-Reputation-Relevance (PoRR) to realize DTSN. This trust evaluation mechanism protects both entities and data via authentic consensus on event reports and aggregate related reports´ trust via DST. Then DTSN decision logic makes a decision according to the output of DST. Performance evaluation and security analysis confirm the efficiency and security of the proposed mechanism.