Paper 2022/1484

Efficient and Universally Composable Non-Interactive Zero-Knowledge Proofs of Knowledge with Security Against Adaptive Corruptions

Anna Lysyanskaya, Brown University
Leah Namisa Rosenbloom, Brown University
Abstract

Non-interactive zero-knowledge proofs of knowledge (NIZKPoK) serve as a key building block in many important cryptographic constructions. Achieving universally composable NIZKPoK secure against adaptive corruptions was a long-standing open problem, recently solved by Canetti, Sarkar, and Wang (Asiacrypt'22). This sole known construction requires heavy cryptographic machinery such as correlation-intractable hash functions, and is not ready for use in practice. In this paper, we give constructions of adaptively secure universally composable NIZKPoK in the global random-oracle model; we consider both the programmable and the non-programmable versions of the model. For many practical NIZK proof systems, our constructions incur only a polylogarithmic slowdown factor compared to stand-alone security.

Note: - corrected construction of the simulator for the adaptive straight-line compiler - introduction of adaptive witness indistinguishability property for OR-protocols

Metadata
Available format(s)
PDF
Category
Foundations
Publication info
Preprint.
Keywords
zero-knowledgeproofs of knowledgeNIZKuniversal composabilityadaptive securityglobal random-oracle model
Contact author(s)
anna_lysyanskaya @ brown edu
leah_rosenbloom @ brown edu
History
2023-08-22: last of 2 revisions
2022-10-28: received
See all versions
Short URL
https://ia.cr/2022/1484
License
Creative Commons Attribution-NonCommercial
CC BY-NC

BibTeX

@misc{cryptoeprint:2022/1484,
      author = {Anna Lysyanskaya and Leah Namisa Rosenbloom},
      title = {Efficient and Universally Composable Non-Interactive Zero-Knowledge Proofs of Knowledge with Security Against Adaptive Corruptions},
      howpublished = {Cryptology ePrint Archive, Paper 2022/1484},
      year = {2022},
      note = {\url{https://eprint.iacr.org/2022/1484}},
      url = {https://eprint.iacr.org/2022/1484}
}
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