An Efficient System for Non-transferable Anonymous Credentials with Optional Anonymity Revocation
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The European Certificate Policy defines an architecture based on commonly changing pseudonym certificates and PKI to ensure authenticity and integrity with a minimum impact on privacy.
“Indeed, the'' European Certi cate Policy for Deployment and Operation of European Cooperative Intelligent Transport Systems (C-ITS)'' 12 de nes an architecture based on commonly changing pseudonym certi cates and PKI to ensure authenticity and integrity with a minimum impact on privacy.”
From Privacy-Preserving Solutions for Blockchain: Review and Challenges (2019) · cites this paper as [12]
Cited by
Sorted by citations
Zerocoin: Anonymous Distributed E-Cash from Bitcoin
Miers, I., Garman, C., Green, M., & Rubin, A. D. (2013) · 2013 IEEE Symposium on Security and Privacy · doi:10.1109/sp.2013.34 · Cited by 983 · see citing works
Privacy-Preserving Solutions for Blockchain: Review and Challenges
Bernal Bernabe, J., Canovas, J. L., Hernandez-Ramos, J. L., Torres Moreno, R., & Skarmeta, A. (2019) · IEEE Access · doi:10.1109/access.2019.2950872 · Cited by 430 · see citing works
“attributes using, for instance, Anonymous Credential Systems [39] such as Idemix [27], which employs ZKPs to reveal the minimal amount of information to the verifier (usually a service provider), even without disclosing the attribute value itself.”
BackgroundMethodZebraLancer: Private and Anonymous Crowdsourcing System atop Open Blockchain
Lu, Y., Tang, Q., & Wang, G. (2018) · 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS) · doi:10.1109/icdcs.2018.00087 · Cited by 224 · see citing works
Holistic Privacy-Preserving Identity Management System for the Internet of Things
Bernal Bernabe, J., Hernandez-Ramos, J. L., & Skarmeta Gomez, A. F. (2017) · Mobile Information Systems · doi:10.1155/2017/6384186 · Cited by 53 · see citing works
A Trusted Approach for Decentralised and Privacy-Preserving Identity Management
Moreno, R. T., Garcia-Rodriguez, J., Bernabe, J. B., & Skarmeta, A. (2021) · IEEE Access · doi:10.1109/access.2021.3099837 · Cited by 33 · see citing works
Biometrics-based identifiers for digital identity management
Bhargav-Spantzel, A., Squicciarini, A., Bertino, E., Kong, X., & Zhang, W. (2010) · Proceedings of the 9th Symposium on Identity and Trust on the Internet · doi:10.1145/1750389.1750401 · Cited by 11 · see citing works
- Authors
- Camenisch, J., & Lysyanskaya, A.
- Affiliations
- IBM Research - Zurich (CH)
- Massachusetts Institute of Technology (US)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2001
- Pages
- 93-118
- ISSN
- 0302-9743 (ISSN-L)
- OpenAlex
- W2165210192
- Cited by
- 1,321
- References
- 0
- Citations by year
- 2026: 60 · 2025: 66 · 2024: 50 · 2023: 58 · 2022: 45 · 2021: 62 · 2020: 29 · 2019: 43 · 2018: 38 · 2017: 52 · 2016: 54 · 2015: 90 · 2014: 77 · 2013: 80 · 2012: 77
- FWCI
- 12.26
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Cryptography and Data Security
- Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Authentication Protocols Security
- Physical Sciences › Computer Science › Artificial Intelligence › Internet Traffic Analysis and Secure E-voting
- Keywords
- anonymous credentials, unlinkability, anonymity revocation, strong RSA assumption, decisional Diffie-Hellman assumption, identity privacy, random oracle model
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
