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A Data-Centric Trust Evaluation Mechanism in Wireless Sensor Networks

机译:无线传感器网络中以数据为中心的信任评估机制

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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.
机译:新一代无线传感器网络要求及时更新。传统的信任评估是基于实体的,需要很长时间才能建立。在基于实体的传感器网络中,数据安全性将被忽略。虚假数据是另一个问题,因为很难在这些基于实体的信任机制中对其进行过滤。错误数据和冗余信息的传播会浪费大量系统能量。本文提出了一个新的概念来应对这些挑战:以数据为中心的信任评估机制(DTSN)和一种新的方法:用于实现DTSN的信誉证明相关性(PoRR)。这种信任评估机制通过对事件报告的真实共识来保护实体和数据,并通过DST汇总相关报告的信任。然后,DTSN决策逻辑根据DST的输出做出决策。性能评估和安全性分析证实了所提出机制的效率和安全性。

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