Average hardness of SIVP for module lattices of fixed rank
Koen de Boer, Aurel Page, Radu Toma, Benjamin Wesolowski

TL;DR
This paper establishes the average-case hardness of the approximate Shortest Independent Vector Problem (SIVP) for fixed-rank module lattices, supporting cryptographic security assumptions, using automorphic forms and equidistribution techniques.
Contribution
It proves a polynomial-time worst-case to average-case reduction for $ ext{SIVP}$ in fixed-rank module lattices, extending prior ideal lattice results to higher ranks.
Findings
Proves average-case hardness of SIVP for fixed-rank module lattices.
Introduces a new quantitative rapid equidistribution result for automorphic forms.
Supports cryptographic assumptions for quantum-resistant schemes.
Abstract
The problem of finding short vectors in Euclidean lattices is a central hard problem in complexity theory. The case of module lattices (i.e., lattices which are also modules over a number ring) is of particular interest for cryptography and computational number theory. The hardness of finding short vectors in the asymptotic regime where the rank (as a module) is fixed is supporting the security of quantum-resistant cryptographic standards such as ML-DSA and ML-KEM. In this article we prove the average-case hardness of this problem for uniformly random module lattices (with respect to the natural invariant measure on the space of module lattices of any fixed rank). More specifically, we prove a polynomial-time worst-case to average-case self-reduction for the approximate Shortest Independent Vector Problem (-SIVP) where the average case is the (discretized) uniform distribution…
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Taxonomy
TopicsCryptography and Data Security · Complexity and Algorithms in Graphs · Cryptography and Residue Arithmetic
