Research on the Trusted Identity Scheme of Internet of Vehicles Based on  Blockchain Oracle

Journal of Information Security Reserach ›› 2023, Vol. 9 ›› Issue (2): 120-.

Research on the Trusted Identity Scheme of Internet of Vehicles Based on Blockchain Oracle

Online:2023-02-01 Published:2023-01-24

基于区块链预言机的车联网可信身份方案研究

张晴晴1,2田潇3田锦2

1(安徽理工大学计算机科学与工程学院安徽淮南232001)
2(金陵科技学院网络与通信工程学院南京211169)
3(南京大学软件学院南京210008)

通讯作者: 张晴晴硕士研究生.主要研究方向为车联网. zqqelva@163.com
作者简介:张晴晴硕士研究生.主要研究方向为车联网. zqqelva@163.com 田潇硕士，工程师.主要研究方向为区块链与隐私计算. tianxiaogeek@foxmail.com 田锦博士，教授.主要研究方向为智能交通. jim.tian@jit.edu.cn

Abstract

Abstract: In order to improve the security and reliability of user identity in the Internet of vehicles, this paper proposes a registration scheme of trusted identity in the Internet of vehicles based on blockchain oracle from the perspective of user registration stage. First, smart contract is used to mobilize blockchain predictor to credibly obtain the data set of impact factors affecting user credibility from thirdparty data sources. In order to ensure the credibility of obtained data, this paper uses distributed predictor nodes to conduct consensus vote on the credibility of thirdparty data sources.Then the machine learning algorithm is used to train and verify the model to predict whether the user is trustworthy or not, finally, the trained model is used to predict the trustworthiness of registered users, the identity of the trusted user will be allowed to join blockchain, Ensure the traceability and credibility of user identity in the Internet of vehicles. The simulation results show that the accuracy of using the prediction model to predict the reliability of registered users is high, which can ensure the reliability of Internet of vehicles users in the registration stage.

Key words: Internet of vehicles, trusted registration, machine learning, smart contract, blockchain oracle

摘要： 针对提高车联网中的用户身份安全可信问题，从用户注册阶段的角度出发，提出了一种基于区块链预言机的车联网可信身份注册方案.首先运用智能合约调动区块链预言机可信地获取第三方数据源中影响用户可信度的影响因子数据集，其中为保证获取数据的可信性，利用分布式预言机节点对第三方数据源的可信度进行共识投票；然后利用机器学习算法对所获得的数据集进行训练和验证预测用户是否可信的模型；最后用训练出的模型对注册用户预测其是否可信，可信的用户将会被允许身份上链操作，保证车联网中用户身份的可溯源、可信性.仿真结果表明，利用所得的预测模型预测注册用户是否可信的准确率较高，可保证车联网用户在注册阶段的可信.

关键词: 车联网, 可信注册, 机器学习, 智能合约, 区块链预言机

张晴晴, 田潇, 田锦, . 基于区块链预言机的车联网可信身份方案研究[J]. 信息安全研究, 2023, 9(2): 120-.

References

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