Threshold Signatures with Private Accountability via Secretly Designated Witnesses

Meng Li, Hanni Ding, Qing Wang, Zijian Zhang*, Mauro Conti

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Threshold signature is a powerful cryptographic technique with a large number of real-life applications. As designed by Boneh and Komlo (CRYPTO’22), TAPS is a new threshold signature integrating privacy and accountability. It allows a combiner to combine t signature shares while protecting t and the signing group from the public. It also enables a tracer to trace a threshold signature to its original signing group. Despite being valuable, TAPS neglects the witnessing of tracing, i.e., leaves the tracing activity unrestrained. In this paper, we introduce Accountable and Private Threshold Signature with Hidden Witnesses (HiTAPS) that not only provides privacy and accountability, but also incorporates witnessed tracing. In specific, we first utilize Dynamic Threshold Public-Key Encryption (DTPKE) and ElGamal encryption to designate a set of t witnesses for endorsing the tracing activity. We then compute a keyed-hash tag for the t witnesses to initiate the tracing activity secretly. Moreover, we present an optimized protocol HiTAPS2 to reduce communication overhead of the combiner. We formalize the definitions, security, and privacy for HiTAPS. We formally prove its security and privacy. To evaluate the performance of HiTAPS and HiTAPS2, we build a prototype based on pypbc. Experimental results show that HiTAPS takes 217(370) ms to combine (track) a threshold signature of 5 signers (witnesses). The optimized HiTAPS2 only takes 137 ms to combine a threshold signature of 5 signers.

Original languageEnglish
Title of host publicationInformation Security and Privacy - 29th Australasian Conference, ACISP 2024, Proceedings
EditorsTianqing Zhu, Yannan Li
PublisherSpringer Science and Business Media Deutschland GmbH
Pages389-407
Number of pages19
ISBN (Print)9789819750245
DOIs
Publication statusPublished - 2024
Event29th Australasian Conference on Information Security and Privacy, ACISP 2024 - Sydney, Australia
Duration: 15 Jul 202417 Jul 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14895 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference29th Australasian Conference on Information Security and Privacy, ACISP 2024
Country/TerritoryAustralia
CitySydney
Period15/07/2417/07/24

Keywords

  • Accountability
  • Privacy
  • Threshold Signatures
  • Witness

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