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.
Authors
- Jie Cai (ORCID: https://orcid.org/0000-0002-0425-8354)
- Fenghe Wang
- Junquan Wang (ORCID: https://orcid.org/0000-0002-1304-3697)
- Jungang Huang
Institutions
- Shandong Jianzhu University (CN)
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
Funders
- Natural Science Foundation of Shandong Province