Forensic categories: a framework for SQIsign-like primitives

Using the language of categories, we introduce a novel framework abstracting the key algorithmic features of the Deuring correspondence between supersingular elliptic curves and quaternion orders and of the post-quantum signature scheme SQIsign based on it. We then show how to construct an interactive identification scheme and digital signature within this framework, and also instantiate more advanced primitives, such as a chameleon hash function. We present two distinct instantiations of the framework based on isogenies of supersingular elliptic curves: the first recovers (one-dimensional) SQIsign, while the second leads to the recently published SQInstructor.

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Publication Details

Journal
IACR Communications in Cryptology
Published
2026-10-26
DOI
https://doi.org/10.62056/aebnjbhdj
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
0.00
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article

Forensic categories: a framework for SQIsign-like primitives

Luca De Feo, Benjamin Wesolowski, Sikhar Patranabis, Andrea Basso et al.
IACR Communications in Cryptology
Cryptography and Data Security
article

Forensic categories: a framework for SQIsign-like primitives

Luca De Feo, Benjamin Wesolowski, Sikhar Patranabis, Andrea Basso, Ilinca Radulescu
article en

Abstract

Using the language of categories, we introduce a novel framework abstracting the key algorithmic features of the Deuring correspondence between supersingular elliptic curves and quaternion orders and of the post-quantum signature scheme SQIsign based on it. We then show how to construct an interactive identification scheme and digital signature within this framework, and also instantiate more advanced primitives, such as a chameleon hash function. We present two distinct instantiations of the framework based on isogenies of supersingular elliptic curves: the first recovers (one-dimensional) SQIsign, while the second leads to the recently published SQInstructor.

IACR Communications in CryptologyVol. 3(3)
École Normale Supérieure de Lyon (FR), Centre National de la Recherche Scientifique (FR), IBM Research - India (IN), IBM (India) (IN), Unité de Mathématiques Pures et Appliquées (FR)
Openalex Percentile: Top 13%
Cryptography and Data Security
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