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Mediterranean Journal of Mathematics
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Provably Unforgeable Threshold EdDSA with an Offline Participant and Trustless Setup

Authors: Battagliola, M; Longo, R; Meneghetti, A; Sala, M;

Provably Unforgeable Threshold EdDSA with an Offline Participant and Trustless Setup

Abstract

AbstractWe present an EdDSA-compatible multi-party digital signature scheme that supports an offline participant during the key-generation phase, without relying on a trusted third party. Under standard assumptions, we prove our scheme secure against adaptive malicious adversaries. Using a classical game-based argument, we prove that if there is an adversary capable of forging the scheme with non-negligible probability, then we can build a forger for the original EdDSA scheme with non-negligible probability. The scheme requires only two communication rounds in the signature generation phase and avoids expensive multi-party evaluation of cryptographic hash functions. We present our solution in a setting where two parties generate the keys and compute signatures, with a third party which can be brought online after the key generation when one of the other parties becomes unavailable. This setting is a perfect fit for custodial solutions where partially trusted services are employed by a user to increase resiliency. We provide also a possible solution to retain the resiliency of the recovery in the presence of a malicious party.

Keywords

94A60 cryptography, 12E20 finite fields, 14h52 elliptic curves, 94A62 authentication and secret sharing, 68w40 analysis of algorithms.

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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!
1
Average
Average
Average
Green
hybrid