Online-Extractability in the Quantum Random-Oracle Model

Open Access
Authors
Publication date 2022
Host editors
  • O. Dunkelman
  • S. Dziembowski
Book title Advances in Cryptology – EUROCRYPT 2022
Book subtitle 41st Annual International Conference on the Theory and Applications of Cryptographic Techniques, Trondheim, Norway, May 30–June 3, 2022 : proceedings
ISBN
  • 9783031070815
ISBN (electronic)
  • 9783031070822
Series Lecture Notes in Computer Science
Event 41st Annual International Conference on the Theory and Applications of Cryptographic Techniques, EUROCRYPT 2022
Volume | Issue number III
Pages (from-to) 677-706
Number of pages 30
Publisher Cham: Springer
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract

We show the following generic result: When a quantum query algorithm in the quantum random-oracle model outputs a classical value t that is promised to be in some tight relation with H(x) for some x, then x can be efficiently extracted with almost certainty. The extraction is by means of a suitable simulation of the random oracle and works online, meaning that it is straightline, i.e., without rewinding, and on-the-fly, i.e., during the protocol execution and (almost) without disturbing it.

The technical core of our result is a new commutator bound that bounds the operator norm of the commutator of the unitary operator that describes the evolution of the compressed oracle (which is used to simulate the random oracle above) and of the measurement that extracts x.

We show two applications of our generic online extractability result. We show tight online extractability of commit-and-open Σ

-protocols in the quantum setting, and we offer the first complete post-quantum security proof of the textbook Fujisaki-Okamoto transformation, i.e., without adjustments to facilitate the proof, including concrete security bounds.

Document type Conference contribution
Language English
Published at https://doi.org/10.1007/978-3-031-07082-2_24
Published at https://eprint.iacr.org/2021/280
Other links https://www.scopus.com/pages/publications/85132108721
Downloads
2021-280 (Submitted manuscript)
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