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Computationally efficient privacy preserving anonymous mutual and batch authentication schemes for vehicular ad hoc networks
Abstract
In the near future, it is envisioned that vehicular Ad hoc networks (VANETs) will be making use of long-distance communication techniques, such as cellular networks and Worldwide Interoperability for Microwave Access (WiMAX), to get instant Internet access for making the communication between vehicles and fixed road side infrastructure. Moreover, VANETs will also make use of short-distance communication methods, such as Dedicated Short-Range Communications (DSRC) and Wireless Fidelity (Wi-Fi) to perform short range communication between vehicles in an ad hoc manner. This Internet connection can provide facility to other vehicles to send traffic related messages, collisions, infotainment messages other useful safety alerts. In such a scenario, providing authentication between vehicle to infrastructure and vehicle to vehicle is a challenging task. In order to provide this facility, in this paper, we propose a computationally efficient privacy preserving anonymous authentication scheme based on the use of anonymous certificates and signatures for VANETs in making them an important component of Internet of Things (IoT) and the development of smart cities. Even though there are several existing schemes available to provide such anonymous authentication based on anonymous certificates and signatures in VANETs, the existing schemes suffer from high computational cost in the certificate revocation list (CRL) checking process and in the certificate and the signature verification process. Therefore, it is not possible to meet the requirement of verifying a large number of messages per second in VANETs which would lead to increased message loss. Hence, we use a computationally efficient anonymous mutual authentication scheme to validate the message source as well as to ensure the integrity of messages along with a conditional tracking mechanism to trace the real identity of misbehaving vehicles and revoke them from VANET in the case of dispute. In this paper, we also introduce an efficient anonymous batch authentication protocol to be used in IoT for Road Side Units (RSUs) to authenticate multiple vehicles simultaneously rather than one after the other such that the total authentication time can be dramatically reduced. This proposed scheme is implemented and the performance analysis shows that our scheme is more efficient in terms of certificate and signature verification cost, while preserving conditional privacy in VANETs.
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Citations
Cited by
A Survey on Recent Advances in Vehicular Network Security, Trust, and Privacy
Lu, Z., Qu, G., & Liu, Z. (2019) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2018.2818888 · Cited by 608
Multi-key privacy-preserving deep learning in cloud computing
Li, P., Li, J., Huang, Z., Li, T., Gao, C.-Z., Yiu, S.-M., & Chen, K. (2017) · Future Generation Computer Systems · doi:10.1016/j.future.2017.02.006 · Cited by 462
Homomorphic Encryption-Based Privacy-Preserving Federated Learning in IoT-Enabled Healthcare System
Zhang, L., Xu, J., Vijayakumar, P., Sharma, P. K., & Ghosh, U. (2023) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2022.3185327 · Cited by 376
Self-citationA decentralized lightweight blockchain-based authentication mechanism for IoT systems
Khalid, U., Asim, M., Baker, T., Hung, P. C. K., Tariq, M. A., & Rafferty, L. (2020) · Cluster Computing · doi:10.1007/s10586-020-03058-6 · Cited by 304
A comprehensive survey on authentication and privacy-preserving schemes in VANETs
Mundhe, P., Verma, S., & Venkatesan, S. (2021) · Computer Science Review · doi:10.1016/j.cosrev.2021.100411 · Cited by 108
Metadata
- Authors
- Vijayakumar, P., Chang, V., Jegatha Deborah, L., Balusamy, B., & Shynu, P. G.
- Venue
- Future Generation Computer Systems
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 78
- Pages
- 943-955
- ISSN
- 0167-739X (ISSN-L)
- OpenAlex
- W2558465299
- Cited by
- 201
- References
- 0
- FWCI
- 8.54
- Type
- journal article
- Language
- en
- Open access
- closed
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- Vijayakumar, P., Chang, V., Jegatha Deborah, L., Balusamy, B., & Shynu, P. G. (2018). Computationally efficient privacy preserving anonymous mutual and batch authentication schemes for vehicular ad hoc networks. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2016.11.024
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