Triply Adaptive UC NIZK

Ran Canetti*, Pratik Sarkar, Xiao Wang

*Corresponding author for this work

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

4 Scopus citations

Abstract

Non-interactive zero knowledge (NIZK) enables proving the validity of NP statement without leaking anything else. We study multi-instance NIZKs in the common reference string (CRS) model, against an adversary that adaptively corrupts parties and chooses statements to be proven. We construct the first such triply adaptive NIZK that provides full adaptive soundness, as well as adaptive zero-knowledge, assuming either LWE or else LPN and DDH (previous constructions rely on non-falsifiable knowledge assumptions). In addition, our NIZKs are universally composable (UC). Along the way, we: Formulate an ideal functionality, FNICOM, which essentially captures non-interactive commitments, and show that it is realizable by existing protocols using standard assumptions.Define and realize, under standard assumptions, Sigma protocols which satisfy triply adaptive security with access to FNICOM.Use the Fiat-Shamir transform, instantiated with correlation intractable hash functions, to compile a Sigma protocol with triply adaptive security with access to FNICOM into a triply adaptive UC-NIZK argument in the CRS model with access to FNICOM, assuming LWE (or else LPN and DDH).Use the UC theorem to obtain UC-NIZK in the CRS model.

Original languageEnglish
Title of host publicationAdvances in Cryptology – ASIACRYPT 2022 - 28th International Conference on the Theory and Application of Cryptology and Information Security, Proceedings
EditorsShweta Agrawal, Dongdai Lin
PublisherSpringer Science and Business Media Deutschland GmbH
Pages466-495
Number of pages30
ISBN (Print)9783031229657
DOIs
StatePublished - 2022
Externally publishedYes
Event28th International Conference on the Theory and Application of Cryptology and Information Security, ASIACRYPT 2022 - Taipei, Taiwan, Province of China
Duration: 5 Dec 20229 Dec 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13792 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference28th International Conference on the Theory and Application of Cryptology and Information Security, ASIACRYPT 2022
Country/TerritoryTaiwan, Province of China
CityTaipei
Period5/12/229/12/22

Funding

FundersFunder number
National Science Foundation1801564, 1414119, 1931714
Defense Advanced Research Projects Agency2016240, HR00112020023, HR001120C0087

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