Novel Weakness Multivariate Quadratic Structures Detected within Macaulay Matrix

The security of a Multivariate Public-Key Cryptosystem (MPKC) is based on the hard mathematical problem of solving Multivariate Quadratic (MQ) equations over finite fields, also known as the MQ problem. An MPKC has the potential to be a post-quantum cryptosystem. In this paper, we identify new weaknesses in the Macaulay matrix identified via Wang's technique, which was initially designed for solving multivariate quadratic equation systems. This new weakness occurs in the case of random coefficients in any column vector for different variables of monomials and random coefficients are assigned to other monomials. The weakness is exposed through the use of Gaussian elimination to obtain a univariate equation. We illustrate our findings using a random example.

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Publication Details

Journal
Journal of Advanced Research in Applied Sciences and Engineering Technology
Published
2024-08-05
DOI
https://doi.org/10.37934/araset.49.2.149159
Primary Topic
Polynomial and algebraic computation
Type
article
Field-Weighted Citation Impact
0.00
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Novel Weakness Multivariate Quadratic Structures Detected within Macaulay Matrix

Nurul Amiera Sakinah Abdul Jamal, Kamilah Abdullah, Muhammad Rezal Kamel Ariffin
Journal of Advanced Research in Applied Sciences and Engineering Technology
Polynomial and algebraic computation
article

Novel Weakness Multivariate Quadratic Structures Detected within Macaulay Matrix

Nurul Amiera Sakinah Abdul Jamal, Kamilah Abdullah, Muhammad Rezal Kamel Ariffin
article en

Abstract

The security of a Multivariate Public-Key Cryptosystem (MPKC) is based on the hard mathematical problem of solving Multivariate Quadratic (MQ) equations over finite fields, also known as the MQ problem. An MPKC has the potential to be a post-quantum cryptosystem. In this paper, we identify new weaknesses in the Macaulay matrix identified via Wang's technique, which was initially designed for solving multivariate quadratic equation systems. This new weakness occurs in the case of random coefficients in any column vector for different variables of monomials and random coefficients are assigned to other monomials. The weakness is exposed through the use of Gaussian elimination to obtain a univariate equation. We illustrate our findings using a random example.

Journal of Advanced Research in Applied Sciences and Engineering TechnologyVol. 49(2)
Universiti Putra Malaysia (MY)
Peace, Justice and strong institutions
Openalex Percentile: Top 85%
Polynomial and algebraic computation
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