A Blockchain-based Trust Management Model for IoV
Xudong Chen · Frontiers in Computing and Intelligent Systems · 2025
In this paper, we design a blockchain and social information-driven trust management model for the Internet of Vehicles (IoV), which effectively solves the problems of sparse node interactions, data dynamics, and malicious attacks faced by trust management in the IoV environment. The model utilizes a multi-dimensional assessment method of direct, indirect and global trust between entities, and dynamically constructs a reference list by quantifying social relationships such as ownership similarity between nodes in the connected car environment. A weighted fusion algorithm of direct trust, indirect trust and inter-cluster relative trust is proposed, combined with a lightweight consensus mechanism to achieve efficient updating of the trust value, and the storage method is optimized taking into account the blockchain storage performance limitation. After verification, the system can quickly identify and isolate malicious nodes under the premise of low cost and low latency, significantly improving the overall security and reliability of Telematics. The scheme also has better performance in terms of storage overhead and time required for consensus, and has the ability to withstand attacks such as singalongs.