WSEAS Transactions on Information Science and Applications
Print ISSN: 1790-0832, E-ISSN: 2224-3402
Volume 23, 2026
Game Theoretic Detection of RSU Collusion in Vehicular Blockchain
Networks
Authors: , , , , , ,
Search Articles
Abstract: Dynamic environments and coordinated malicious behavior remain major challenges in virtually
any Internet of Vehicle system, making trust a challenging proposition. This paper devises a novel
approach to achieve blockchain consensus through collective computation and dynamic Work evaluation to
detect/evade Roadside station collusion. It creates Trust evaluation based on historical reviews, behavior
significance, and scoring - variation and plugs into adaptive difficulty adjustment. This leads to differences
in Shapley value, and similarity-based metrics, allowing the system to identify colluding RSUs and influence
their mining probability. Nash stability and compatible desires are guaranteed by game-theory analysis.
Planned framework is seen to enhance packet delivery ratio up to 17.4%, lessen end-to-end delay up to
21.6% and increase throughput by 13.9% when compared with basic planned frameworks as shown in
reproduction results. This framework provides a scalable and reliable solution to secure and fair data
sharing in blockchain-based Internet of Vehicles.
Keywords:
Internet of Vehicles (IoV), Blockchain, Trust Management, Coalition Game Theory, Roadside Units (RSUs), Proof-of-Work (PoW), Collusion Detection, Dynamic Consensus, Shapley Value, Incentive Mechanism
Pages: 370-380
DOI: 10.37394/23209.2026.23.30