On the Lower Bound of Cost of MDS Matrices

IF 1.7 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING IACR Transactions on Symmetric Cryptology Pub Date : 2022-12-07 DOI:10.46586/tosc.v2022.i4.266-290
A. Venkateswarlu, Abhishek Kesarwani, Sumanta Sarkar
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引用次数: 2

Abstract

Ever since lightweight cryptography emerged as one of the trending topics in symmetric key cryptography, optimizing the implementation cost of MDS matrices has been in the center of attention. In this direction, various metrics like d-XOR, s-XOR and g-XOR have been proposed to mimic the hardware cost. Consequently, efforts also have been made to search for the optimal MDS matrices for dimensions relevant to cryptographic applications according to these metrics. However, finding the optimal MDS matrix in terms of hardware cost still remains an unsolved problem. In this paper, we settle the question of the optimal 4 x 4 MDS matrices over GL(n, F2) under the recently proposed metric sequential XOR count based on words (sw-XOR). We prove that the sw-XOR of such matrices is at least 8n + 3, and the bound is tight as matrices with sw-XOR cost 35 and 67 for the values of n = 4 and 8, respectively, were already known. Moreover, the lower bound for these values of n matches with the known lower bounds according to s-XOR and g-XOR metrics.
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关于MDS矩阵代价的下界
自从轻量级加密成为对称密钥加密领域的热门话题之一以来,优化MDS矩阵的实现成本一直是人们关注的焦点。在这个方向上,已经提出了各种指标,如d-XOR, s-XOR和g-XOR来模拟硬件成本。因此,还根据这些指标搜索与加密应用相关的维度的最佳MDS矩阵。然而,在硬件成本方面寻找最优MDS矩阵仍然是一个未解决的问题。在本文中,我们解决了最近提出的基于单词的度量顺序异或计数(sw-XOR)下GL(n, F2)上的最优4 × 4 MDS矩阵的问题。我们证明了这类矩阵的sw-XOR值至少为8n + 3,并且由于已知n = 4和n = 8时sw-XOR值分别为35和67的矩阵,该界是紧的。此外,根据s-XOR和g-XOR度量,这些n值的下界与已知的下界相匹配。
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来源期刊
IACR Transactions on Symmetric Cryptology
IACR Transactions on Symmetric Cryptology Mathematics-Applied Mathematics
CiteScore
5.50
自引率
22.90%
发文量
37
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