Vehicular Edge Computing Meets Cache: An Access Control Scheme with Fair Incentives for Privacy-Aware Content Delivery

Vehicular Edge Computing (VEC) integrates mobile edge computing with traditional vehicular networks, which shifts the majority of computation and storage workload of resource-constrained vehicles to the edge nodes. The high mobility of vehicles usually leads to frequent network changes and connection interruptions, making data sharing more challenging in such dynamic and unstable environments. To address this issue, cache-based content delivery is considered a promising solution for efficient data sharing in VEC. However, access control and fair incentive distribution in privacy-Aware data sharing are rarely taken into account in prior VEC-oriented studies. In this paper, we propose RFIP-VEC, a Revocable access control scheme with Fair Incentive for Privacy-Aware content delivery in VEC. Specifically, to enable anonymous authentication and conditional revocation, we construct a secure group signature scheme with formally proved security guarantees. Subsequently, based on our group signature scheme, we design a two-layer access control framework by employing proxy re-encryption. We also establish an evolutionary game theory model to analyze the effectiveness and fairness of the fair incentive in our scheme. Thus, our scheme can achieve flexible access control and fair incentive distribution with the assistance of edge nodes. Security analysis and experimental results demonstrate that the proposed scheme can achieve security goals with affordable cost in terms of network performance in VEC.