Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 177

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

Improved Non-committing Encryption Schemes Based on a General Complexity Assumption

Damgård, Ivan, Nielsen, Jesper Buus·2000·Lecture Notes in Computer Science

Abstract

Non-committing encryption enables the construction of multiparty computation protocols secure against an adaptive adversary in the computational setting where private channels between players are not assumed. While any non-committing encryption scheme must be secure in the ordinary semantic sense, the converse is not necessarily true. We propose a construction of non-committing encryption that can be based on any public-key system which is secure in the ordinary sense and which has an extra property we call simulatability. This generalises an earlier scheme proposed by Beaver based on the Diffie-Hellman problem, and we propose another implementation based on RSA. In a more general setting, our construction can be based on any collection of trapdoor permutations with a certain simulatability property. This offers a considerable efficiency improvement over the first non-committing encryption scheme proposed by Canetti et al. Finally, at some loss of efficiency, our scheme can be based on general collections of trapdoor permutations without the simulatability assumption, and without the common-domain assumption of Canetti et al. In showing this last result, we identify and correct a bug in a key generation protocol from Canetti et al.

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 · 10.1007/3-540-44598-6_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 177

Metadata

Authors
Damgård, I., & Nielsen, J. B.
Venue
Lecture Notes in Computer Science
Published
2000
Pages
432-450
ISSN
0302-9743 (ISSN-L)
OpenAlex
W1801771305
Cited by
177
References
1
FWCI
5.36
Type
conference paper
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: Improved Non-committing Encryption Schemes Based on a General Complexity Assumption. https://app.cochat.ai/papers/10.1007/3-540-44598-6_27
The paper
Damgård, I., & Nielsen, J. B. (2000). Improved Non-committing Encryption Schemes Based on a General Complexity Assumption. Lecture Notes in Computer Science. https://doi.org/10.1007/3-540-44598-6_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.