Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 288

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

An Accumulator Based on Bilinear Maps and Efficient Revocation for Anonymous Credentials

Open access
Camenisch, Jan, Kohlweiss, Markulf, Soriente, Claudio·2009·Lecture Notes in Computer Science

Abstract

The success of electronic authentication systems, be it e-ID card systems or Internet authentication systems such as CardSpace, highly depends on the provided level of user-privacy. Thereby, an important requirement is an efficient means for revocation of the authentication credentials. In this paper we consider the problem of revocation for certificate-based privacy-protecting authentication systems. To date, the most efficient solutions for revocation for such systems are based on cryptographic accumulators. Here, an accumulate of all currently valid certificates is published regularly and each user holds a witness enabling her to prove the validity of her (anonymous) credential while retaining anonymity. Unfortunately, the users' witnesses must be updated at least each time a credential is revoked. For the know solutions, these updates are computationally very expensive for users and/or certificate issuers which is very problematic as revocation is a frequent event as practice shows. In this paper, we propose a new dynamic accumulator scheme based on bilinear maps and show how to apply it to the problem of revocation of anonymous credentials. In the resulting scheme, proving a credential's validity and updating witnesses both come at (virtually) no cost for credential owners and verifiers. In particular, updating a witness requires the issuer to do only one multiplication per addition or revocation of a credential and can also be delegated to untrusted entities from which a user could just retrieve the updated witness. We believe that thereby we provide the first authentication system offering privacy protection suitable for implementation with electronic tokens such as eID cards or drivers' licenses.

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 · 10.1007/978-3-642-00468-1_27

Cites

1 of 1 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 1 references

Cited by

See all 288

Metadata

Authors
Camenisch, J., Kohlweiss, M., & Soriente, C.
Venue
Lecture Notes in Computer Science
Published
2009
Pages
481-500
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W1502328873
Cited by
288
References
1
FWCI
12.69
Type
conference paper
Language
en
Open access
green

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: An Accumulator Based on Bilinear Maps and Efficient Revocation for Anonymous Credentials. https://app.cochat.ai/papers/10.1007/978-3-642-00468-1_27
The paper
Camenisch, J., Kohlweiss, M., & Soriente, C. (2009). An Accumulator Based on Bilinear Maps and Efficient Revocation for Anonymous Credentials. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-00468-1_27

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.