Adaptively Secure BLS Threshold Signatures from DDH and co-CDH

Sourav Das, Ling Ren

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Threshold signatures are one of the most important cryptographic primitives in distributed systems. A popular choice of threshold signature scheme is the BLS threshold signature introduced by Boldyreva (PKC’03). Some attractive properties of Boldyreva’s threshold signature are that the signatures are unique and short, the signing process is non-interactive, and the verification process is identical to that of non-threshold BLS. These properties have resulted in its practical adoption in several decentralized systems. However, despite its popularity and wide adoption, up until recently, the Boldyreva scheme has been proven secure only against a static adversary. Very recently, Bacho and Loss (CCS’22) presented the first proof of adaptive security for the Boldyreva scheme, but they have to rely on strong and non-standard assumptions such as the hardness of one-more discrete log (OMDL) and the Algebraic Group Model (AGM). In this paper, we present the first adaptively secure threshold BLS signature scheme that relies on the hardness of DDH and co-CDH in asymmetric pairing groups in the Random Oracle Model (ROM). Our signature scheme also has non-interactive signing, compatibility with non-threshold BLS verification, and practical efficiency like Boldyreva’s scheme. These properties make our protocol a suitable candidate for practical adoption with the added benefit of provable adaptive security.

Original languageEnglish (US)
Title of host publicationAdvances in Cryptology – CRYPTO 2024 - 44th Annual International Cryptology Conference, Proceedings
EditorsLeonid Reyzin, Douglas Stebila
PublisherSpringer
Pages251-284
Number of pages34
ISBN (Print)9783031683930
DOIs
StatePublished - 2024
Event44th Annual International Cryptology Conference, CRYPTO 2024 - Santa Barbara, United States
Duration: Aug 18 2024Aug 22 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14926 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference44th Annual International Cryptology Conference, CRYPTO 2024
Country/TerritoryUnited States
CitySanta Barbara
Period8/18/248/22/24

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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