Advances in Cryptology – ASIACRYPT 2025
Predicting Module-Lattice Reduction
Léo Ducas
Centrum Wiskunde & Informatica and Leiden University, the Netherlands
Lynn Engelberts
Centrum Wiskunde & Informatica and QuSoft, the Netherlands
Paola de Perthuis
Centrum Wiskunde & Informatica, the Netherlands
Keywords:
Abstract
Is module-lattice reduction better than unstructured lattice reduction? This question was highlighted as `Q8' in the Kyber NIST standardization submission~(Avanzi et al., 2021), as potentially affecting the concrete security of Kyber and other module-lattice-based schemes. Foundational works on module-lattice reduction~(Lee, Pellet-Mary, Stehl\'e, and Wallet, ASIACRYPT 2019; Mukherjee and Stephens-Davidowitz, CRYPTO 2020) confirmed the existence of such module variants of LLL and block-reduction algorithms, but focus only on provable worst-case asymptotic behavior.
In this work, we present a concrete average-case analysis of module-lattice reduction. Specifically, we address the question of the expected slope after running module-BKZ, and pinpoint the discriminant $\Delta_K$ of the number field at hand as the main quantity driving this slope. We convert this back into a gain or loss on the blocksize $\beta$: module-BKZ in a number field $K$ of degree $d$ requires an SVP oracle of dimension $\beta + \log(|\Delta_K| / d^d)\beta /(d\log \beta) + o(\beta / \log \beta)$ to reach the same slope as unstructured BKZ with blocksize $\beta$. This asymptotic summary hides further terms that we predict concretely using experimentally verified heuristics. Incidentally, we provide the first open-source implementation of module-BKZ for some cyclotomic fields.
For power-of-two cyclotomic fields, we have $|\Delta_K| = d^d$, and conclude that module-BKZ requires a blocksize larger than its unstructured counterpart by $d-1+o(1)$. On the contrary, for all other cyclotomic fields we have $|\Delta_K| < d^d$, so module-BKZ provides a sublinear $\Theta(\beta/\log \beta)$ gain on the required blocksize, yielding a subexponential speedup of $\exp(\Theta(\beta/\log \beta))$.
Publication
Advances in Cryptology – ASIACRYPT 2025. ASIACRYPT 2025. Lecture Notes in Computer Science, vol 16247. Springer, Singapore.
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asiacrypt/2025/a9
Artifact published
December 31, 2025
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This work is licensed under the MIT License.
Note that license information is supplied by the authors and has not been confirmed by the IACR.
BibTeX How to cite
Ducas, L., Engelberts, L., de Perthuis, P. (2026). Predicting Module-Lattice Reduction. In: Hanaoka, G., Yang, BY. (eds) Advances in Cryptology – ASIACRYPT 2025. ASIACRYPT 2025. Lecture Notes in Computer Science, vol 16247. Springer, Singapore. https://doi.org/10.1007/978-981-95-5099-9_5. Artifact available at https://artifacts.iacr.org/asiacrypt/2025/a9