High-Threshold AVSS with Optimal Communication Complexity

Nicolas AlHaddad*, Mayank Varia, Haibin Zhang

*Corresponding author for this work

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

10 Citations (Scopus)

Abstract

Asynchronous verifiable secret sharing (AVSS) protocols protect a secret that is distributed among n parties. Dual-threshold AVSS protocols guarantee consensus in the presence of t Byzantine failures and privacy if fewer than p parties attempt to reconstruct the secret. In this work, we construct a dual-threshold AVSS protocol called Haven that is optimal along several dimensions. First, it is a high-threshold AVSS scheme, meaning that it is a dual-threshold AVSS with optimal parameters t< n/ 3 and p< n- t. Second, it has O(n2) message complexity, and for large secrets it achieves the optimal O(n) communication overhead, without the need for a public key infrastructure or trusted setup. While these properties have been achieved individually before, to our knowledge this is the first protocol that achieves all of the above simultaneously. The core component of Haven is a high-threshold AVSS scheme for small secrets based on polynomial commitments that achieves O(n2log (n) ) communication overhead, as compared to prior schemes that require O(n3) overhead with t< n/ 4 Byzantine failures or O(n4) overhead for the recent high-threshold protocol of Kokoris-Kogias et al. (CCS 2020). Using standard amortization methods based on erasure coding, we can reduce the communication complexity to O(n| s| ) for a large secret s.

Original languageEnglish
Title of host publicationFinancial Cryptography and Data Security - 25th International Conference, FC 2021, Revised Selected Papers
EditorsNikita Borisov, Claudia Diaz
PublisherSpringer Science and Business Media Deutschland GmbH
Pages479-498
Number of pages20
ISBN (Print)9783662643303
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event25th International Conference on Financial Cryptography and Data Security, FC 2021 - Virtual, Online
Duration: 1 Mar 20215 Mar 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12675 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference25th International Conference on Financial Cryptography and Data Security, FC 2021
CityVirtual, Online
Period1/03/215/03/21

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