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Quantum Attacks Without Superposition Queries: The Offline Simon’s Algorithm
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| Abstract: | In symmetric cryptanalysis, the model of superposition queries has led to surprising results, with many constructions being broken in polynomial time thanks to Simon’s period-finding algorithm. But the practical implications of these attacks remain blurry. In contrast, the results obtained so far for a quantum adversary making classical queries only are less impressive.In this paper, we introduce a new quantum algorithm which uses Simon’s subroutines in a novel way. We manage to leverage the algebraic structure of cryptosystems in the context of a quantum attacker limited to classical queries and offline quantum computations. We obtain improved quantum-time/classical-data tradeoffs with respect to the current literature, while using only as much hardware requirements (quantum and classical) as a standard exhaustive search with Grover’s algorithm. In particular, we are able to break the Even-Mansour construction in quantum time $$\tilde{O}(2^{n/3})$$, with $$O(2^{n/3})$$ classical queries and $$O(n^2)$$ qubits only. In addition, we improve some previous superposition attacks by reducing the data complexity from exponential to polynomial, with the same time complexity.Our approach can be seen in two complementary ways: reusing superposition queries during the iteration of a search using Grover’s algorithm, or alternatively, removing the memory requirement in some quantum attacks based on a collision search, thanks to their algebraic structure.We provide a list of cryptographic applications, including the Even-Mansour construction, the FX construction, some Sponge authenticated modes of encryption, and many more. |
BibTeX
@article{asiacrypt-2019-30027,
title={Quantum Attacks Without Superposition Queries: The Offline Simon’s Algorithm},
booktitle={Advances in Cryptology – ASIACRYPT 2019},
series={Advances in Cryptology – ASIACRYPT 2019},
publisher={Springer},
volume={11921},
pages={552-583},
doi={10.1007/978-3-030-34578-5_20},
author={Xavier Bonnetain and Akinori Hosoyamada and María Naya-Plasencia and Yu Sasaki and André Schrottenloher},
year=2019
}