New bounds of the smoothing parameter for lattices
Heng Guo,
Fengxia Liu,
Linlin Wang and
Kun Tian
PLOS ONE, 2025, vol. 20, issue 7, 1-16
Abstract:
The smoothing parameter on lattices is crucial for lattice-based cryptographic design. In this study, we establish a new upper bound for the lattice smoothing parameter, which represents an improvement over several significant classical findings. For one-dimensional integer lattices, under specific and optimized conditions, we have achieved a more precise upper bound compared to previous research. Regarding general high-dimensional lattices, when the lattice dimension is large enough and the error parameter is within a particular range, we have derived a new upper bound. In the practical applications of lattice-based cryptography, where the lattice dimension is typically large, our new bound enables a more natural and smaller setting for the error parameter, thereby improving the upper bounds on all known smoothing parameters.
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0328688
DOI: 10.1371/journal.pone.0328688
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