New bounds of the smoothing parameter for lattices

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.

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Publication Details

Journal
PLoS ONE
Published
2025-07-24
DOI
https://doi.org/10.1371/journal.pone.0328688
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
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article

New bounds of the smoothing parameter for lattices

Kun Tian, Heng Guo, Linlin Wang, Fengxia Liu
PLoS ONE
Cryptography and Data Security
article

New bounds of the smoothing parameter for lattices

Kun Tian, Heng Guo, Linlin Wang, Fengxia Liu
article en

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.

PLoS ONEVol. 20(7)
Henan Academy of Sciences (CN), Great Bay University, Renmin University of China (CN)
Sustainable cities and communities
Openalex Percentile: Top 91%
Cryptography and Data Security
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