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Cited by 1,125

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

A practical scheme for non-interactive verifiable secret sharing

Feldman, Paul·1987·28th Annual Symposium on Foundations of Computer Science (sfcs 1987)

Abstract

This paper presents an extremely efficient, non-interactive protocol for verifiable secret sharing. Verifiable secret sharing (VSS) is a way of bequeathing information to a set of processors such that a quorum of processors is needed to access the information. VSS is a fundamental tool of cryptography and distributed computing. Seemingly difficult problems such as secret bidding, fair voting, leader election, and flipping a fair coin have simple one-round reductions to VSS. There is a constant-round reduction from Byzantine Agreement to non-interactive VSS. Non-interactive VSS provides asynchronous networks with a constant-round simulation of simultaneous broadcast networks whenever even a bare majority of processors are good. VSS is constantly repeated in the simulation of fault-free protocols by faulty systems. As verifiable secret sharing is a bottleneck for so many results, it is essential to find efficient solutions.

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Crossref · 10.1109/sfcs.1987.4

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Metadata

Authors
Feldman, P.
Venue
28th Annual Symposium on Foundations of Computer Science (sfcs 1987)
Publisher
IEEE
Published
1987-10
Pages
427-438
ISSN
0272-5428 (ISSN-L)
OpenAlex
W2168970529
Cited by
1,125
References
2
FWCI
2.28
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: A practical scheme for non-interactive verifiable secret sharing. https://app.cochat.ai/papers/10.1109/sfcs.1987.4
The paper
Feldman, P. (1987). A practical scheme for non-interactive verifiable secret sharing. 28th Annual Symposium on Foundations of Computer Science (sfcs 1987). https://doi.org/10.1109/sfcs.1987.4

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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.