A Blockchain-based Privacy Preserving Scheme for Vehicular Trust Management Systems

The Internet of Vehicles (IoV) trust management systems usually aims to provide a security guarantee for the interaction between vehicles, which has attracted many researchers’ attention. However, most studies rarely consider data security and identity privacy protection issues brought about by trust management systems. Due to the untrusted environment, data dissemination among vehicles is easy to falsify. Meanwhile, the true identity information of vehicles may be exposed to message transmission and evaluation. To address these issues, this paper applies consortium blockchain to build a two-layer vehicular network architecture, and based on it, homomorphic encryption and pseudonym technology are introduced to protect data security while simultaneously preserving identity privacy of vehicles. For performance analysis, a novel compositional approach, named Performance Evaluation Process Algebra (PEPA), is applied to model the scheme.