Paper 2024/1224 Original: eprint.iacr.org/2024/1224 ↗

Generic Construction of Secure Sketches from Groups

Axel Durbet
Koray Karabina
Kevin Thiry-Atighehchi
Abstract

Secure sketches are designed to facilitate the recovery of originally enrolled data from inputs that may vary slightly over time. This capability is important in applications where data consistency cannot be guaranteed due to natural variations, such as in biometric systems and hardware security. Traditionally, secure sketches are constructed using error-correcting codes to handle these variations effectively. Additionally, principles of information theory ensure the security of these sketches by managing the trade-off between data recoverability and confidentiality. In this paper, we show how to construct a new family of secure sketches generically from groups. The notion of groups with unique factorization property is first introduced, which is of independent interest and serves as a building block for our secure sketch construction. Next, an in-depth study of the underlying mathematical structures is provided, and some computational and decisional hardness assumptions are defined. As a result, it is argued that our secure sketches are efficient; can handle a linear fraction of errors with respect to the norm 1 distance; and that they are reusable and irreversible. To our knowledge, such generic group-based secure sketch construction is the first of its kind, and it offers a viable alternative to the currently known secure sketches.

Metadata
Available format(s)
PDF
Category
Foundations
Publication info
Preprint.
History
2025-05-10: last updated
2024-07-31: published
Short URL
https://ia.cr/2024/1224
License
https://creativecommons.org/licenses/by/4.0/

BibTeX

@misc{cryptoeprint:2024/1224,
      author = {Axel Durbet and Koray Karabina and Kevin Thiry-Atighehchi},
      title = {Generic Construction of Secure Sketches from Groups},
      howpublished = {Cryptology {ePrint} Archive, Paper 2024/1224},
      year = {2024},
      url = {https://eprint.iacr.org/2024/1224}
}
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