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Attribute-Based Proxy Re-encryption with Privacy Protection for Message Dissemination in VANET

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Digital Forensics and Cyber Crime (ICDF2C 2022)

Abstract

Message dissemination between the infrastructures and vehicles is the most common operation in the vehicular ad hoc network (VANET). However, only some specific vehicles can access the disseminated message with keys. When other vehicles do need to access this message, they have to send requests to the infrastructures like the trusted authority (TA). TA negotiates with this vehicles and may produce many encryption redundancies for the same message, which costs extra communication and computation overhead. Thus, the proposed scheme adopts attribute-based proxy re-encryption (ABPRE) with privacy protection, which is suitable for one-to-many communication mode in VANET. By shifting the re-encryption work to roadside units (RSUs) and cloud servers, the computation overhead of the trusted authority (TA) is significant reduced. Besides, pseudonym and batch verification are introduced in authentication work to ensure the security. The security analysis shows that our scheme meets the secure requirements of VANET. The simulation evaluates the cost of each phase, which demonstrated that the scheme has a low computation cost and reduces the redundancy work.

Supported by Natural Science Foundation of Jiangxi Province (Grant No. 20202BAB212003), Science and technology project of Jiangxi Provincial Department of Education(GJJ210853).

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Correspondence to Zhen Wu .

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Liu, Q., Yao, Z., Wu, Z., Xu, Z. (2023). Attribute-Based Proxy Re-encryption with Privacy Protection for Message Dissemination in VANET. In: Goel, S., Gladyshev, P., Nikolay, A., Markowsky, G., Johnson, D. (eds) Digital Forensics and Cyber Crime. ICDF2C 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 508. Springer, Cham. https://doi.org/10.1007/978-3-031-36574-4_23

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  • DOI: https://doi.org/10.1007/978-3-031-36574-4_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-36573-7

  • Online ISBN: 978-3-031-36574-4

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