Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 268

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

b-SPECS+: Batch Verification for Secure Pseudonymous Authentication in VANET

Horng, Shi-Jinn, Tzeng, Shiang-Feng, Pan, Yi, Fan, Pingzhi, Wang, Xian, Li, Tianrui, Khan, Muhammad Khurram·2013·IEEE Transactions on Information Forensics and Security

Abstract

The security and privacy preservation issues are prerequisites for vehicular ad hoc networks. Recently, secure and privacy enhancing communication schemes (SPECS) was proposed and focused on intervehicle communications. SPECS provided a software-based solution to satisfy the privacy requirement and gave lower message overhead and higher successful rate than previous solutions in the message verification phase. SPECS also presented the first group communication protocol to allow vehicles to authenticate and securely communicate with others in a group of known vehicles. Unfortunately, we find out that SPECS is vulnerable to impersonation attack. SPECS has a flow such that a malicious vehicle can force arbitrary vehicles to broadcast fake messages to other vehicles or even a malicious vehicle in the group can counterfeit another group member to send fake messages securely among themselves. In this paper, we provide a secure scheme that can achieve the security and privacy requirements, and overcome the weaknesses of SPECS. Moreover, we show the efficiency merits of our scheme through performance evaluations in terms of verification delay and transmission overhead.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1109/tifs.2013.2277471

Cites

27 of 27 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 27 references

Cited by

See all 268

Metadata

Authors
Horng, S.-J., Tzeng, S.-F., Pan, Y., Fan, P., Wang, X., Li, T., & Khan, M. K.
Venue
IEEE Transactions on Information Forensics and Security
Published
2013-11
Volume
8
Issue
11
Pages
1860-1875
ISSN
  • 1556-6013 (ISSN-L)
  • 1556-6021
OpenAlex
W1965058431
Cited by
268
References
27
FWCI
4.79
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: b-SPECS+: Batch Verification for Secure Pseudonymous Authentication in VANET. https://app.cochat.ai/papers/10.1109/tifs.2013.2277471
The paper
Horng, S.-J., Tzeng, S.-F., Pan, Y., Fan, P., Wang, X., Li, T., & Khan, M. K. (2013). b-SPECS+: Batch Verification for Secure Pseudonymous Authentication in VANET. IEEE Transactions on Information Forensics and Security. https://doi.org/10.1109/tifs.2013.2277471

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.