Trust management scheme for driver-vehicle separation on dual-layer blockchain

Abstract

Aiming at the trust bias caused by chaotic trust relationships between vehicles and drivers in the Internet of vehicles, a driver-vehicle separation trust management scheme based on dual-layer blockchain was proposed, a dual-layer blockchain architecture consisting of a permanent driver reputation blockchain and a temporary vehicle reputation blockchain was constructed, aiming to reduce system storage load and improve trust management efficiency. Firstly, a dual-key driver-vehicle authentication method based on fuzzy extraction was designed to establish a stable driver-vehicle trust link. Secondly, vehicle reputation was comprehensively evaluated using multidimensional indicators including direct interaction, indirect interaction, and information quality assessment. Additionally, the adaptive size-practical Byzantine fault tolerance (AS-PBFT) consensus algorithm was designed to optimize the consensus scale and reduce consensus time. Finally, through simulation experiments, it is shown that the proposed scheme outperforms existing schemes in terms of malicious vehicle identification rate and blockchain consensus speed.

Keywords

• Internet of vehicles
• blockchain
• trust management
• driver-vehicle trust