Blockchain-based Authentication and Proof-of-Reputation Mechanism for Trust Data Sharing in Internet of Vehicles

【Author】 Bai, Xiao; Chen, Shanzhi; Shi, Yan; Liang, Chengzhi; Lv, Xiaochen

【Source】AD HOC & SENSOR WIRELESS NETWORKS

【影响因子】0.400

【Abstract】Mobile edge computing (MEC) technology with storage and computing capabilities and deployed at the edge of the network, is widely used to solve the problems of high bandwidth, low latency and high mobility for the Internet of vehicles (IoV). Edge computing servers are generally deployed on road side unit (RSU). However, since the vehicles need to share data and collaborate on computations through RSUs, RSUs may be attacked by malicious vehicles which take up RSU resources or gain control of RSU. Therefore, a trust management system needs to be designed to build a secure and trustworthy MEC data-sharing envi-ronment in IoV. Most of the previous studies have centralized authen-tication of vehicle identity through certificate authority (CA), which has the risk of privacy leakage. In addition, in the previously proposed blockchain-based distributed trust management schemes, the consensus mechanism consumes huge resources. Therefore, this paper proposes an autonomous and controllable distributed authentication scheme based on decentralized identifier (DID) to ensure the credibility of the vehi-cle's identity, and a novel proof-of-reputation consensus mechanism based on blockchain to enhance trust management for RSU. And this paper considers the capability and reputation value of RSU and uses the deep reinforcement learning algorithm to adjust the assignment of ver-ification nodes, block size and block interval in order to maximize the transaction throughput and improve system scalability and efficiency. The experiment shows that our scheme has good results for building a trusted data sharing system for vehicular networks.

【Keywords】Blockchain; reputation management; authentication; PBFT; markov decision process; internet of vehicles

【发表时间】2022

【收录时间】2022-09-15

【文献类型】理论模型

【主题类别】

区块链技术-协同技术-边缘计算