所有 $$4\times 4$$ 非重叠 MDS 矩阵的系统构建方法

IF 2.4 3区 数学 Q1 MATHEMATICS
Yogesh Kumar, P. R. Mishra, Susanta Samanta, Atul Gaur
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引用次数: 0

摘要

最大距离可分(MDS)矩阵不仅在编码理论中,而且在块密码和哈希函数的设计中都起着至关重要的作用。我们尤其关注非法定 MDS 矩阵,因为它有助于在硬件实现中使用单一电路进行加密和解密。在本文中,我们介绍了偶数阶非法定 MDS 矩阵的几个特征。此外,我们还介绍了一种新的矩阵形式,用于获取所有偶数阶的非法定 MDS 矩阵,并将其与文献中的其他矩阵形式进行了比较。然后,我们提出了一种在有限域 \(\mathbb {F}_{2^m}\) 上系统地构造所有 \(4 次 4\) 非正则 MDS 矩阵的技术。与考虑所有(4 次 4)非法定矩阵相比,这种方法专注于非法定 MDS 类代表矩阵,从而在更小的集合内生成所有此类矩阵,从而大大缩小了搜索空间。具体来说,我们的方法是在一个 cardinality \((2^m-1)^5\) 的集合中寻找这些代表性矩阵。通过这种方法,我们可以明确地枚举出在\(m=3,4,ldots ,8\)的\(\mathbb {F}_{2^m}\)上的\(4乘以4\)非法定MDS矩阵的总数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A systematic construction approach for all $$4\times 4$$ involutory MDS matrices

A systematic construction approach for all $$4\times 4$$ involutory MDS matrices

Maximum distance separable (MDS) matrices play a crucial role not only in coding theory but also in the design of block ciphers and hash functions. Of particular interest are involutory MDS matrices, which facilitate the use of a single circuit for both encryption and decryption in hardware implementations. In this article, we present several characterizations of involutory MDS matrices of even order. Additionally, we introduce a new matrix form for obtaining all involutory MDS matrices of even order and compare it with other matrix forms available in the literature. We then propose a technique to systematically construct all \(4 \times 4\) involutory MDS matrices over a finite field \(\mathbb {F}_{2^m}\). This method significantly reduces the search space by focusing on involutory MDS class representative matrices, leading to the generation of all such matrices within a substantially smaller set compared to considering all \(4 \times 4\) involutory matrices. Specifically, our approach involves searching for these representative matrices within a set of cardinality \((2^m-1)^5\). Through this method, we provide an explicit enumeration of the total number of \(4 \times 4\) involutory MDS matrices over \(\mathbb {F}_{2^m}\) for \(m=3,4,\ldots ,8\).

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来源期刊
Journal of Applied Mathematics and Computing
Journal of Applied Mathematics and Computing Mathematics-Computational Mathematics
CiteScore
4.20
自引率
4.50%
发文量
131
期刊介绍: JAMC is a broad based journal covering all branches of computational or applied mathematics with special encouragement to researchers in theoretical computer science and mathematical computing. Major areas, such as numerical analysis, discrete optimization, linear and nonlinear programming, theory of computation, control theory, theory of algorithms, computational logic, applied combinatorics, coding theory, cryptograhics, fuzzy theory with applications, differential equations with applications are all included. A large variety of scientific problems also necessarily involve Algebra, Analysis, Geometry, Probability and Statistics and so on. The journal welcomes research papers in all branches of mathematics which have some bearing on the application to scientific problems, including papers in the areas of Actuarial Science, Mathematical Biology, Mathematical Economics and Finance.
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