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Blockchain-based conditional privacy-preserving authentication scheme for vehicular ad hoc networks

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Abstract

Security and privacy are two challenging issues in Vehicular Ad-hoc Networks (VANETs), which have attracted widespread concern from industry and academia. However, the existing security schemes for VANETs environment have various problems, such as the unlinkability and the cross region communication,etc. To overcome these weaknesses, this paper designs a blockchain-based conditional privacy-preserving authentication scheme (BCPAS) for VANETs. The proposed scheme has the following two advantages: (1) Pseudonym ID is employed in authentication phase to ensure the real identity of vehicle is unlinkable. (2) Blockchain technology is adopted to make cross-region authentication more efficient. Compared with the most recent scheme, the computational efficiency of our scheme has improved 50% with 3 service management nodes, and 87% with 15 service management nodes in the Authentication and Member Secrets Generate Phase.

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Notes

  1. Bcprov-jdk15,https://www.bouncycastle.org

  2. Gson-2.7,https://sites.google.com/site/gson

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Acknowledgements

The work of this paper was supported by the Spring Plan of the Ministry of Education of China in 2018, and Science and Technology Fund of Sichuan Province (No. 2020JDRC0100), and China Postdoctoral Science Foundation (Grant No. 2019M663475), and Xihua University Graduate Innovation Foundation (Grant No. YCJJ2020019), and the Key Projects of Xihua University (No. Z202005).

Funding

The work of X. Niu was supported by the National Science Foundation of China (No. 62171387), the China Postdoctoral Science Foundation under Grant No. 2019M663475, and the Spring Plan of the Ministry of Education of China in 2018 (No. 191629). The work of L. Xiong was supported by Science and Technology Fund of Sichuan Province (No. 2020JDRC0100). The work of C. Gong was supported by Xihua University Graduate Innovation Foundation (Grant No. YCJJ2020019).

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All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Cheng Gong and Xingyu He. The first draft of the manuscript was written by Cheng Gong and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Ling Xiong.

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The authors have no relevant financial or non-financial interests to disclose.

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Gong, C., Xiong, L., He, X. et al. Blockchain-based conditional privacy-preserving authentication scheme for vehicular ad hoc networks. J Ambient Intell Human Comput 14, 6273–6286 (2023). https://doi.org/10.1007/s12652-021-03655-2

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  • DOI: https://doi.org/10.1007/s12652-021-03655-2

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