Low-Latency Boolean Functions and Bijective S-boxes

IF 1.7 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Shahram Rasoolzadeh
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引用次数: 2

Abstract

In this paper, we study the gate depth complexity of (vectorial) Boolean functions in the basis of {NAND, NOR, INV} as a new metric, called latency complexity, to mathematically measure the latency of Boolean functions. We present efficient algorithms to find all Boolean functions with low-latency complexity, or to determine the latency complexity of the (vectorial) Boolean functions, and to find all the circuits with the minimum latency complexity for a given Boolean function. Then, we present another algorithm to build bijective S-boxes with low-latency complexity which with respect to the computation cost, this algorithm overcomes the previous methods of building S-boxes.As a result, for latency complexity 3, we present n-bit S-boxes of 3 ≤ n ≤ 8 with linearity 2n−1 and uniformity 2n−2 (except for 5-bit S-boxes for whose the minimum achievable uniformity is 6). Besides, for latency complexity 4, we present several n-bit S-boxes of 5 ≤ n < 8 with linearity 2n−2 and uniformity 2n−4.
低延迟布尔函数和双射s盒
本文在{NAND, NOR, INV}的基础上,研究(向量)布尔函数的门深度复杂度作为一种新的度量,称为延迟复杂度,以数学方式度量布尔函数的延迟。我们提出了有效的算法来寻找所有低延迟复杂度的布尔函数,或确定(矢量)布尔函数的延迟复杂度,并找到给定布尔函数具有最小延迟复杂度的所有电路。然后,我们提出了另一种低延迟复杂度的双目标s盒构建算法,该算法在计算成本方面克服了以往构建s盒的方法。因此,对于延迟复杂度3,我们提出了3≤n≤8的n位s盒,线性度为2n−1,均匀度为2n−2(最小均匀度为6的5位s盒除外)。此外,对于延迟复杂度4,我们提出了几个5≤n < 8的n位s盒,线性度为2n−2,均匀度为2n−4。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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