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A Blockchain-Based Privacy-Preserving Trust and Reputation Management for Internet of Vehicles

  • Hongyu Wang,
  • Haitao Yang,
  • Wei Zhong,
  • Linfang Deng,
  • Fei Tong

摘要

Since the internet of vehicles (IoV) effectively facilitates the sharing of information between vehicles and roadside units (RSU), traffic efficiency, pedestrians and vehicle safety have been greatly improved. However, due to the openness of IoV and the high-speed mobility of vehicles, both nodes and privacy are at risk of being attacked. In this regard, we propose a privacy-preserving trust and reputation management system based on blockchain. The system uses a feedback collection model that can resist several kinds of attacks and realizes privacy protection to calculate the reputation of vehicles and RSU in IoV. The calculation process of vehicles’ reputation is encapsulated in smart contract. Vehicles calculate the reputation of RSUs through collaborative filtering technique, which can ensure that the calculated reputation value is reliable. At the same time, the survival time of vehicles’ reputation is introduced to prevent the occurrence of hiding attack effectively. The evaluation based on the Hyberledger Fabric platform shows that scheme can manage reputation effectively and reduce memory consumption.