The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
A Threshold Anonymous Authentication Protocol for VANETs
Abstract
Vehicular ad hoc networks (VANETs) have recently received significant attention in improving traffic safety and efficiency. However, communication trust and user privacy still present practical concerns to the deployment of VANETs, as many existing authentication protocols for VANETs either suffer from the heavy workload of downloading the latest revocation list from a remote authority or cannot allow drivers on the road to decide the trustworthiness of a message when the authentication on messages is anonymous. In this paper, to cope with these challenging concerns, we propose a new authentication protocol for VANETs in a decentralized group model by using a new group signature scheme. With the assistance of the new group signature scheme, the proposed authentication protocol is featured with threshold authentication, efficient revocation, unforgeability, anonymity, and traceability. In addition, the assisting group signature scheme may also be of independent interest, as it is characterized by efficient traceability and message linkability at the same time. Extensive analyses indicate that our proposed threshold anonymous authentication protocol is secure, and the verification of messages among vehicles can be accelerated by using batch message processing techniques.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Boneh, D., Boyen, X., & Shacham, H. (2004) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-28628-8_3 · Cited by 2,089
Securing vehicular ad hoc networks
Raya, M., & Hubaux, J.-P. (2007) · Journal of Computer Security · doi:10.3233/jcs-2007-15103 · Cited by 1,709
Chaum, D., & van Heyst, E. (1991) · Theory and Application of Cryptographic Techniques · Cited by 1,492
Zheng, Y. (1997) · Lecture Notes in Computer Science · doi:10.1007/bfb0052234 · Cited by 1,250
Chaum, D., & van Heyst, E. (1991) · Lecture Notes in Computer Science · doi:10.1007/3-540-46416-6_22 · Cited by 1,196
A Practical and Provably Secure Coalition-Resistant Group Signature Scheme
Ateniese, G., Camenisch, J., Joye, M., & Tsudik, G. (2000) · Lecture Notes in Computer Science · doi:10.1007/3-540-44598-6_16 · Cited by 800
The security and privacy of smart vehicles
Hubaux, J. P., Capkun, S., & Luo, J. (2004) · IEEE Security & Privacy Magazine · doi:10.1109/msp.2004.26 · Cited by 793
ECPP: Efficient Conditional Privacy Preservation Protocol for Secure Vehicular Communications
Lu, R., Lin, X., Zhu, H., Ho, P.-H., & Shen, X. (2008) · IEEE INFOCOM 2008 - The 27th Conference on Computer Communications · doi:10.1109/infocom.2008.179 · Cited by 724
Self-citationSecure vehicular communication systems: design and architecture
Papadimitratos, P., Buttyan, L., Holczer, T., Schoch, E., Freudiger, J., Raya, M., Ma, Z., Kargl, F., Kung, A., & Hubaux, J.-P. (2008) · IEEE Communications Magazine · doi:10.1109/mcom.2008.4689252 · Cited by 537
Detecting and correcting malicious data in VANETs
Golle, P., Greene, D., & Staddon, J. (2004) · Proceedings of the 1st ACM international workshop on Vehicular ad hoc networks · doi:10.1145/1023875.1023881 · Cited by 527
Cited by
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
Azees, M., Vijayakumar, P., & Deboarh, L. J. (2017) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2016.2634623 · Cited by 482
Wazid, M., Bagga, P., Das, A. K., Shetty, S., Rodrigues, J. J. P. C., & Park, Y. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2923611 · Cited by 253
AlMarshoud, M., Sabir Kiraz, M., & H. Al-Bayatti, A. (2024) · ACM Computing Surveys · doi:10.1145/3656166 · Cited by 145
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
- Shao, J., Lin, X., Lu, R., & Zuo, C.
- Venue
- IEEE Transactions on Vehicular Technology
- Published
- 2016-03
- Volume
- 65
- Issue
- 3
- Pages
- 1711-1720
- ISSN
- 0018-9545 (ISSN-L)
- 1939-9359
- OpenAlex
- W2071430611
- Cited by
- 317
- References
- 23
- FWCI
- 8.66
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Threshold Anonymous Authentication Protocol for VANETs. https://app.cochat.ai/papers/10.1109/tvt.2015.2405853
- The paper
- Shao, J., Lin, X., Lu, R., & Zuo, C. (2016). A Threshold Anonymous Authentication Protocol for VANETs. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/tvt.2015.2405853
Data sources
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.