Abstract
Vehicular ad-hoc networks (VANETs) is emerging as the most essential technology for securing traffic safety as well as enhancing traffic conditions. The confidentiality of messages transmitted in VANETs is of utmost priority, which has attracted extensive scholarly research. However, the security of the existing studied encryption schemes remains to be upgraded with a massy time overhead. Hence, we propose a lightweight encryption scheme for secure message transmission in VANETs with a private blockchain. Firstly, the encryption scheme we designed, called VMT, ensures the confidentiality and forward security of messages, while the system is sound and amnesic so that we are not entirely dependent on external servers. Meanwhile, the private blockchain with high privacy-preserving and flexible read/write access assures that merely permitted users to access the message. Furthermore, our scheme achieves excellent lightweight, thus suitable for VANETs with huge messages. Security analysis indicates that our scheme has firmly secured the transmission of messages in VANETs. Performance evaluation demonstrates that our scheme is lightweight and efficient, with encryption and decryption times of 7.00 ms and 7.67 ms, respectively.
S. Xu and X. Chen—have the same contribution in this paper with no particular order. Shiyuan Xu and Xue Chen completed this work when they were at North China University of Technology.
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Acknowledgement
This work was supported in part by the R &D Program of Beijing Municipal Education Commission under Grant KM202010009010, in part by the Yunnan Key Laboratory of Blockchain Application Technology under Grant 2021105AG070005 (YNB202102), in part by the Beijing Municipal Natural Science Foundation under Grant M21029 and in part by the National Key Research and Development Program of China under Grant 2018YFB1800302.
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Xu, S., Chen, X., He, Y., Cao, Y., Gao, S. (2022). VMT: Secure VANETs Message Transmission Scheme with Encryption and Blockchain. In: Wang, L., Segal, M., Chen, J., Qiu, T. (eds) Wireless Algorithms, Systems, and Applications. WASA 2022. Lecture Notes in Computer Science, vol 13471. Springer, Cham. https://doi.org/10.1007/978-3-031-19208-1_21
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