Research on A Lattice-Based Fuzzy Signature and Bimodal Gaussian

Fuzzy signatures differ from standard signature schemes in that they use noisy strings as keys, thereby eliminating the need for user-specific auxiliary data. With the advent of quantum computing, lattice-based digital signatures are considered potential candidates for resisting quantum attacks. In this work, we revisited the lattice-based fuzzy signature scheme proposed by Zheng <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">et al</i>. and demonstrated how the scheme can be implemented more efficiently and securely. In our new signature scheme, our contributions are as follows: The utilization of bimodal Gaussian sampling reduces the number of aborting terminations while simultaneously decreasing the signature size. By eliminating the T matrix from the verification equation, we improve verification efficiency. Additionally, in response to the linear sketch proposed by the authors, we provide a proof of the collision resistance of the mapping <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">h</i>, which further enhances the correctness of the scheme.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3578736
Primary Topic
Cognitive Computing and Networks
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on A Lattice-Based Fuzzy Signature and Bimodal Gaussian

Jie Cai, Fenghe Wang, Junquan Wang, Jungang Huang
IEEE Access
Cognitive Computing and Networks
article

Research on A Lattice-Based Fuzzy Signature and Bimodal Gaussian

Jie Cai, Fenghe Wang, Junquan Wang, Jungang Huang
article en

Abstract

Fuzzy signatures differ from standard signature schemes in that they use noisy strings as keys, thereby eliminating the need for user-specific auxiliary data. With the advent of quantum computing, lattice-based digital signatures are considered potential candidates for resisting quantum attacks. In this work, we revisited the lattice-based fuzzy signature scheme proposed by Zheng <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">et al</i>. and demonstrated how the scheme can be implemented more efficiently and securely. In our new signature scheme, our contributions are as follows: The utilization of bimodal Gaussian sampling reduces the number of aborting terminations while simultaneously decreasing the signature size. By eliminating the T matrix from the verification equation, we improve verification efficiency. Additionally, in response to the linear sketch proposed by the authors, we provide a proof of the collision resistance of the mapping <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">h</i>, which further enhances the correctness of the scheme.

IEEE AccessVol. 13
Shandong Jianzhu University (CN)
Natural Science Foundation of Shandong Province
Openalex Percentile: Top 94%
Cognitive Computing and Networks
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Research on A Lattice-Based Fuzzy Signature and Bimodal Gaussian — Jie Cai, Fenghe Wang, et al. · IEEE Access (2025) | TGRS Research Map | TGRS