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Secure Blockchain-Enabled Internet of Vehicles Scheme with Privacy Protection

Jiansheng Zhang1, Yang Xin1,*, Yuyan Wang2, Xiaohui Lei2, Yixian Yang1

1 Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China
2 Beijing Everyone Crowdsourcing Technology Company Ltd., Beijing, 100018, China

* Corresponding Author: Yang Xin. Email: email

Computers, Materials & Continua 2023, 75(3), 6185-6199. https://doi.org/10.32604/cmc.2023.038029

Abstract

The car-hailing platform based on Internet of Vehicles (IoV) technology greatly facilitates passengers’ daily car-hailing, enabling drivers to obtain orders more efficiently and obtain more significant benefits. However, to match the driver closest to the passenger, it is often necessary to process the location information of the passenger and driver, which poses a considerable threat to privacy disclosure to the passenger and driver. Targeting these issues, in this paper, by combining blockchain and Paillier homomorphic encryption algorithm, we design a secure blockchain-enabled IoV scheme with privacy protection for online car-hailing. In this scheme, firstly, we propose an encryption scheme based on the lattice. Thus, the location information of passengers and drivers is encrypted in this system. Secondly, by introducing Paillier homomorphic encryption algorithm, the location matching of passengers and drivers is carried out in the ciphertext state to protect their location privacy. At last, blockchain technology is used to record the transactions in online car-hailing, which can provide a security guarantee for passengers and drivers. And we further analyze the security and performance of this scheme. Compared with other schemes, the experimental results show that the proposed scheme can protect the user’s location privacy and have a better performance.

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Cite This Article

J. Zhang, Y. Xin, Y. Wang, X. Lei and Y. Yang, "Secure blockchain-enabled internet of vehicles scheme with privacy protection," Computers, Materials & Continua, vol. 75, no.3, pp. 6185–6199, 2023. https://doi.org/10.32604/cmc.2023.038029



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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