Abstract
Aiming at the issues of low comprehensiveness and timeliness of data, difficulty in balancing data anonymity and traceability, and challenges of securely storing massive data in traditional traffic data sharing systems, this paper proposes a UAV-VANET integrated system (UVIS) based on consortium blockchain. The UAV integrated into the VANET can promptly provide drivers and traffic managers with comprehensive traffic information and images for traffic planning, thus enhancing transportation efficiency and safety. To achieve traceability of anonymous data sharing, we introduce a proxy re-encryption mechanism to realize precise data access control, which can not only protect data and identity privacy but also trace the true identity of malicious users. Additionally, it effectively prevents the collusion between proxies and data requesters from stealing unauthorized confidential information. To alleviate the pressure of traffic data storage, we adopt a storage method that combines blockchain and IPFS, ensuring secure storage of massive data. Security analysis shows that the UVIS has achieved secure sharing of traffic data. We analyze its efficiency theoretically, and demonstrate the practicality through experiments.
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Acknowledgments
This article is supported in part by the Guangxi Natural Science Foundation under grants AA22068067 and 2023GXNSFAA026236, the National Natural Science Foundation of China under projects 62162017 and 61962012, and the special fund of the High-level Innovation Team and Outstanding Scholar Program for universities of Guangxi.
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Liu, Y., Wang, Y., Yi, C., Ding, Y., Yang, C., Wang, H. (2024). Secure Traffic Data Sharing in UAV-Assisted VANETs. In: Gao, H., Wang, X., Voros, N. (eds) Collaborative Computing: Networking, Applications and Worksharing. CollaborateCom 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 562. Springer, Cham. https://doi.org/10.1007/978-3-031-54528-3_17
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