A Partitioned DAG Distributed Ledger with Local Consistency for Vehicular Reputation Management

• Main Authors: Chai, J. (Author), Chen, Y. (Author), Guo, Y. (Author), Li, N. (Author)
• Format: Article
• Language: English
• Published: Hindawi Limited 2022
• Subjects: Blockchain; Directed acyclic graph (DAG); Directed graphs; Distributed ledger; Evaluation methods; Large dataset; Local consistency; Network interaction; Performance; Reputation management; Reputation updates; Road network; Trust establishment; Vehicles; Vehicular ad hoc networks; Vehicular Adhoc Networks (VANETs)
• Online Access: View Fulltext in Publisher

 Vehicular reputation maintenance with distributed ledger is aimed at establishing trust among vehicles randomly meeting in a Vehicular Ad-hoc Network (VANET). It is, however, challenging in VANET, as congested areas in road networks, brought by traffic tides or accidents, challenge the ledger performance. Meanwhile, the reputation update is highly dependent on transaction consensus of the distributed ledger. To solve the problem, this paper proposes deploying directed acyclic graph-(DAG-) based distributed ledgers on vehicles, which use the vehicular distribution to adapt the unpredictable reputation update. Specifically, we first propose a partitioned DAG-based distributed ledger to manage vehicular reputation in partitioned VANET. Secondly, we introduce a novel reputation evaluation method to encourage vehicles to contribute to VANET interaction and ledger consensus maintenance, which can remedy the topology churn of the ledger network due to the mobility of VANET. Finally, we design a reputation update method based on the consistency of transactions in the partition to facilitate trust establishment. Experimental results on a real-world dataset show that the proposed ledger and reputation update method is effective and feasible in the large-scale dynamic VANET. © 2022 Naipeng Li et al.