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Lightweight Multiplication in GF(2~n) with Applications to MDS Matrices

机译:GF(2〜n)中的轻量级乘法及其在MDS矩阵中的应用

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In this paper we consider the fundamental question of optimizing finite field multiplications with one fixed element. Surprisingly, this question did not receive much attention previously. We investigate which field representation, that is which choice of basis, allows for an optimal implementation. Here, the efficiency of the multiplication is measured in terms of the number of XOR operations needed to implement the multiplication. While our results are potentially of larger interest, we focus on a particular application in the second part of our paper. Here we construct new MDS matrices which outperform or are on par with all previous results when focusing on a round-based hardware implementation.
机译:在本文中,我们考虑了用一个固定元素优化有限域乘法的基本问题。令人惊讶的是,这个问题以前没有得到太多关注。我们研究哪种字段表示形式,即哪种基础选择,可以实现最佳实现。此处,乘法的效率是根据实现乘法所需的XOR运算次数来衡量的。虽然我们的结果可能会引起更大的兴趣,但我们在本文的第二部分中将重点放在特定的应用上。在这里,我们构建新的MDS矩阵,在专注于基于回合的硬件实现上,它们的性能优于或与之前的所有结果相同。

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