The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A fuzzy commitment scheme
Open accessAbstract
We combine well-known techniques from the areas of error-correcting codes and cryptography to achieve a new type of cryptographic primitive that we refer to as a fuzzy commitment scheme. Like a conventional cryptographic commitment scheme, our fuzzy commitment scheme is both concealing and binding: it is infeasible for an attacker to learn the committed value, and also for the committer to decommit a value in more than one way. In a conventional scheme, a commitment must be opened using a unique witness, which acts, essentially, as a decryption key. By contrast, our scheme is fuzzy in the sense that it accepts a witness that is close to the original encrypting witness in a suitable metric, but not necessarily identical.
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
Handbook of applied cryptography
(1997) · Choice Reviews Online · doi:10.5860/choice.34-4512 · Cited by 10,357
Cited by
Secure smartcardbased fingerprint authentication
Clancy, T. C., Kiyavash, N., & Lin, D. J. (2003) · Proceedings of the 2003 ACM SIGMM workshop on Biometrics methods and applications - WBMA '03 · doi:10.1145/982507.982516 · Cited by 482
HMOG: New Behavioral Biometric Features for Continuous Authentication of Smartphone Users
Sitova, Z., Sedenka, J., Yang, Q., Peng, G., Zhou, G., Gasti, P., & Balagani, K. S. (2016) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2015.2506542 · Cited by 398
Cancellable biometrics and annotations on biohash
Teoh, A. B. J., Kuan, Y. W., & Lee, S. (2008) · Pattern Recognition · doi:10.1016/j.patcog.2007.12.002 · Cited by 213
Security, Privacy, and Usability in Continuous Authentication: A Survey
Baig, A. F., & Eskeland, S. (2021) · Sensors · doi:10.3390/s21175967 · Cited by 98
Secure stochastic ECG signals based on gaussian mixture model for e-healthcare systems
Wang, W., Wang, H., Hempel, M., Peng, D., Sharif, H., & Chen, H.-H. (2011) · IEEE Systems Journal · doi:10.1109/jsyst.2011.2165597 · Cited by 45
Metadata
- Authors
- Juels, A., & Wattenberg, M.
- Venue
- Proceedings of the 6th ACM conference on Computer and communications security
- Publisher
- ACM
- Published
- 1999-11
- Pages
- 28-36
- ISSN
- 1543-7221 (ISSN-L)
- OpenAlex
- W2032551902
- Cited by
- 1,591
- References
- 1
- FWCI
- 2.83
- Type
- conference paper
- Language
- en
- Open access
- bronze
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 fuzzy commitment scheme. https://app.cochat.ai/papers/10.1145/319709.319714
- The paper
- Juels, A., & Wattenberg, M. (1999). A fuzzy commitment scheme. Proceedings of the 6th ACM conference on Computer and communications security. https://doi.org/10.1145/319709.319714
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.