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The Detection of Cheaters in Thershold Schemes

The detection of cheaters in threshold schemes
Authors: Ernest F. Brickell; Douglas R. Stinson;

The Detection of Cheaters in Thershold Schemes

Abstract

Summary: Informally, \(a(t,w)\)- threshold scheme is a way of distributing partial information (shadows) to \(w\) participants, so that any \(t\) of them can easily calculate a key (or secret), but no subset of fewer than \(t\) participants can determine the key. Presented in this paper is an unconditionally secure threshold scheme in which any cheating participant can be detected and identified with high probability by any honest participant, even if the cheater is in coalition with other participants. Also given is a construction that will detect with high probability a dealer who distributes inconsistent shadows (shares) to the honest participants. The scheme is not perfect; a set of \(t-1\) participants can rule out at most \(1+{w-t+1\choose t-1}\) possible keys, given the information they have. In this scheme, the key will be an element of \(GF(q)\) for some prime power \(q\), Hence \(q\) can be chosen large enough so that the amount of information obtained by any \(t-1\) participants is negligible.

Keywords

threshold scheme, secret sharing scheme, Cryptography, Combinatorial aspects of finite geometries, partial information

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
56
Top 10%
Top 1%
Top 10%
bronze