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Efficient identity-based data transmission for VANET

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Abstract

To simplify the key management processes, data transmission protocols for vehicular ad-hoc networks typically use identity-based cryptography for protecting the transmitted data. However, current identity-based data transmission protocols are mainly based on the bilinear map technique, which requires high computation costs on vehicles and road-side units, resulting in high latency. At the same time, to provide location privacy protection, data transmission protocols typically use pseudonyms instead of vehicles’ real identities, resulting in complicated pseudonym management processes. To address these issues, we present a novel identity-based data transmission protocol called EIBDT. Similar to the protocols of this field, EIBDT can provide integrity and confidentiality protections for the transmitted data. However, compared to other well-known approaches, EIBDT uses Lagrange interpolation instead of bilinear map for integrity protection, which employs only a few modular exponentiation operations. Since modular exponentiation is much more efficient than bilinear pairing, EIBDT can reduce the computation costs of vehicles and RSUs significantly. Moreover, for location privacy protection, EIBDT encrypts real identities of vehicles using an algebraic-signature-and-identity-based algorithm which is highly efficient. Therefore, the complicated pseudonym management process is avoided and the computation costs are reduced. Experimental results show that the proposed protocol is feasible for real applications.

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Acknowledgements

This paper is supported by the NSFC (no.71402070, no.61101088), the NSF of jiangsu province (no. BK20161099), and the Opening Project of Key Lab of Information Network Security of Ministry of Public Security (no. C16604).

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Authors and Affiliations

  1. School of Information Science and Engineering, Southeast University, Nanjing, 210096, Jiangsu, China

    Changsheng Wan

  2. The Third Research Institute of Ministry of Public Security, Shanghai, 201204, China

    Changsheng Wan

  3. Business School, Nanjing University, Nanjing, 210093, Jiangsu, China

    Juan Zhang

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  1. Changsheng Wan
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  2. Juan Zhang
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Correspondence to Changsheng Wan.

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Wan, C., Zhang, J. Efficient identity-based data transmission for VANET. J Ambient Intell Human Comput 9, 1861–1871 (2018). https://doi.org/10.1007/s12652-017-0650-x

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  • DOI: https://doi.org/10.1007/s12652-017-0650-x

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