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Security and Communication Networks
Article . 2016 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
DBLP
Article . 2016
Data sources: DBLP
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Distributed key generation protocol with a new complaint management strategy

Authors: Wafa Neji; Kaouther Blibech Sinaoui; Narjes Ben Rajeb;

Distributed key generation protocol with a new complaint management strategy

Abstract

AbstractA distributed key generation (DKG) protocol is a fundamental building block for many threshold cryptosystems. It allows a set of participants to jointly generate a shared secret key without using a trusted party. In 1991, Pedersen proposed the first DKG protocol called Joint‐Feldman DKG. However, it was proved later that this protocol does not guarantee a uniformly random distribution of generated keys. Despite this flaw in the security requirements, Pedersen's DKG protocol has been used for several years as central component to design threshold cryptosystems. Note that most of the solutions proposed in the literature to improve the Pedersen's DKG protocol have several disadvantages. They use private channels, require participants to reveal their secret shares to solve complaints, and use costly computations. This makes them complex and not easy to use in practical situations. In this paper, we present at first an extended version of Joint‐Feldman DKG that ensures a uniform distribution of the generated keys. Then we present a DKG protocol with public channels that use a new strategy to manage complaints without revealing the shares of the secrets held by honest participants and that clearly identifies dishonest participants. We prove that our solution satisfies the security requirements of DKG protocols. Copyright © 2016 John Wiley & Sons, Ltd.

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    influence
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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!
26
Top 10%
Top 10%
Average
gold