| Title | Blockchain-based trust evaluation mechanism for Internet of Vehicles |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Li, Leixiao, Xiong, Xiao, Gao, Haoyu, Zheng, Yue, Niu, Tieming, Du, Jinze |
| Conference Name | 2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta) |
| Date Published | dec |
| Keywords | blockchain, Complexity theory, Data security, decision making, Human Behavior, human factors, Internet, Internet of Vehicles, malicious attacks, Memory, Metrics, pubcrawl, resilience, Resiliency, security, simulation, smart contracts, trust computing |
| Abstract | In the traditional Internet of Vehicles, communication data is easily tampered with and easily leaked. In order to improve the trust evaluation mechanism of the Internet of Vehicles and establish a trust relationship between vehicles, a blockchain-based Internet of Vehicles trust evaluation (BBTE) scheme is proposed. First, the scheme uses the roadside unit RSU to calculate the trust value of vehicle nodes and maintain the generation, verification and storage of blocks, so as to realize distributed data storage and ensure that data cannot be tampered with. Secondly, an efficient trust evaluation method is designed. The method integrates four trust decision factors: initial trust, historical experience trust, recommendation trust and RSU observation trust to obtain the overall trust value of vehicle nodes. In addition, in the process of constructing the recommendation trust method, the recommendation trust is divided into three categories according to the interaction between the recommended vehicle node and the communicator, use CRITIC to obtain the optimal weights of three recommended trusts, and use CRITIC to obtain the optimal weights of four trust decision-making factors to obtain the final trust value. Finally, the NS3 simulation platform is used to verify the security and accuracy of the trust evaluation method, and to improve the identification accuracy and detection rate of malicious vehicle nodes. The experimental analysis shows that the scheme can effectively deal with the gray hole attack, slander attack and collusion attack of other vehicle nodes, improve the security of vehicle node communication interaction, and provide technical support for the basic application of Internet of Vehicles security. |
| DOI | 10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00291 |
| Citation Key | li_blockchain-based_2022 |
Blockchain-based trust evaluation mechanism for Internet of Vehicles