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Main Authors: Caminata, Alessio, Cartor, Ryann, Meneghetti, Alessio, Mora, Rocco, Pellegrini, Alex
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2412.04848
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author Caminata, Alessio
Cartor, Ryann
Meneghetti, Alessio
Mora, Rocco
Pellegrini, Alex
author_facet Caminata, Alessio
Cartor, Ryann
Meneghetti, Alessio
Mora, Rocco
Pellegrini, Alex
contents This paper presents enhanced reductions of the bounded-weight and exact-weight Syndrome Decoding Problem (SDP) to a system of quadratic equations. Over $\mathbb{F}_2$, we improve on a previous work and study the degree of regularity of the modeling of the exact weight SDP. Additionally, we introduce a novel technique that transforms SDP instances over $\mathbb{F}_q$ into systems of polynomial equations and thoroughly investigate the dimension of their varieties. Experimental results are provided to evaluate the complexity of solving SDP instances using our models through Gröbner bases techniques.
format Preprint
id arxiv_https___arxiv_org_abs_2412_04848
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Quadratic Modelings of Syndrome Decoding
Caminata, Alessio
Cartor, Ryann
Meneghetti, Alessio
Mora, Rocco
Pellegrini, Alex
Cryptography and Security
Optimization and Control
94A60, 08-08
This paper presents enhanced reductions of the bounded-weight and exact-weight Syndrome Decoding Problem (SDP) to a system of quadratic equations. Over $\mathbb{F}_2$, we improve on a previous work and study the degree of regularity of the modeling of the exact weight SDP. Additionally, we introduce a novel technique that transforms SDP instances over $\mathbb{F}_q$ into systems of polynomial equations and thoroughly investigate the dimension of their varieties. Experimental results are provided to evaluate the complexity of solving SDP instances using our models through Gröbner bases techniques.
title Quadratic Modelings of Syndrome Decoding
topic Cryptography and Security
Optimization and Control
94A60, 08-08
url https://arxiv.org/abs/2412.04848