The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
EAAP: Efficient Anonymous Authentication With Conditional Privacy-Preserving Scheme for Vehicular Ad Hoc Networks
Abstract
Providing an efficient anonymous authentication scheme in vehicular ad hoc networks (VANETs) with low computational cost is a challenging issue. Even though, there are some existing schemes to provide anonymous authentication, the existing schemes suffer from high computational cost in the certificate and the signature verification process, which leads to high message loss. Therefore, they fail to meet the necessity of verifying hundreds of messages per second in VANETs. In our scheme, we propose an efficient anonymous authentication scheme to avoid malicious vehicles entering into the VANET. In addition, the proposed scheme offers a conditional tracking mechanism to trace the vehicles or roadside units that abuse the VANET. As a result, our scheme revokes the privacy of misbehaving vehicles to provide conditional privacy in a computationally efficient way through which the VANET entities will be anonymous to each other until they are revoked from the VANET system. Moreover, the proposed scheme is implemented and the performance analysis shows that our scheme is computationally efficient with respect to the certificate and the signature verification process by keeping conditional privacy in VANETs.
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Cites
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Aggregate and Verifiably Encrypted Signatures from Bilinear Maps
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Short Signatures from the Weil Pairing
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The security of vehicular ad hoc networks
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GSIS: A Secure and Privacy-Preserving Protocol for Vehicular Communications
Lin, X., Sun, X., Ho, P.-H., & Shen, X. (2007) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2007.906878 · Cited by 917
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ECPP: Efficient Conditional Privacy Preservation Protocol for Secure Vehicular Communications
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An Efficient Identity-Based Batch Verification Scheme for Vehicular Sensor Networks
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SECURING VEHICULAR COMMUNICATIONS
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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
Li, L., Liu, J., Cheng, L., Qiu, S., Wang, W., Zhang, X., & Zhang, Z. (2018) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2017.2777990 · Cited by 571
Secure Message Communication Protocol Among Vehicles in Smart City
Dua, A., Kumar, N., Das, A. K., & Susilo, W. (2018) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2017.2780183 · Cited by 180
AlMarshoud, M., Sabir Kiraz, M., & H. Al-Bayatti, A. (2024) · ACM Computing Surveys · doi:10.1145/3656166 · Cited by 145
Chen, J., Li, K., & Yu, P. S. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2021.3105682 · Cited by 116
Metadata
- Authors
- Azees, M., Vijayakumar, P., & Deboarh, L. J.
- Venue
- IEEE Transactions on Intelligent Transportation Systems
- Published
- 2017-09
- Volume
- 18
- Issue
- 9
- Pages
- 2467-2476
- ISSN
- 1524-9050 (ISSN-L)
- 1558-0016
- OpenAlex
- W2586333888
- Cited by
- 482
- References
- 26
- FWCI
- 12.19
- Type
- journal article
- Language
- en
- Open access
- closed
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- Azees, M., Vijayakumar, P., & Deboarh, L. J. (2017). EAAP: Efficient Anonymous Authentication With Conditional Privacy-Preserving Scheme for Vehicular Ad Hoc Networks. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/tits.2016.2634623
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
