{"title":"Toward Finding S-Box Circuits With Optimal Multiplicative Complexity","authors":"Yongjin Jeon;Seungjun Baek;Jongsung Kim","doi":"10.1109/TC.2024.3398507","DOIUrl":null,"url":null,"abstract":"In this paper, we present a new method to find S-box circuits with optimal multiplicative complexity (MC), i.e., MC-optimal S-box circuits. We provide new observations for efficiently constructing circuits and computing MC, combined with a popular pathfinding algorithm named A*. In our search, the A* algorithm outputs a path of length MC, corresponding to an MC-optimal circuit. Based on an in-depth analysis of the process of computing MC, we enable the A* algorithm to function within our graph to investigate a wider range of S-boxes than existing methods such as the SAT-solver-based tool \n<xref>[1]</xref>\n and \n<monospace>LIGHTER</monospace>\n \n<xref>[2]</xref>\n. We provide implementable MC-optimal circuits for all the quadratic 5-bit bijective S-boxes and existing 5-bit almost-perfect nonlinear (APN) S-boxes. Furthermore, we present MC-optimal circuits for 6-bit S-boxes such as Sarkar Gold, Sarkar Quadratic, and some quadratic permutations. Finally, we theoretically demonstrate new lower bounds for the MCs of S-boxes, providing tighter bounds for the MCs of \n<monospace>AES</monospace>\n and \n<monospace>MISTY</monospace>\n S-boxes than previously known. This study complements previous results on MC-optimal S-box circuits and is intended to provide further insight into this field.","PeriodicalId":13087,"journal":{"name":"IEEE Transactions on Computers","volume":"73 8","pages":"2036-2050"},"PeriodicalIF":3.6000,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Computers","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10528277/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we present a new method to find S-box circuits with optimal multiplicative complexity (MC), i.e., MC-optimal S-box circuits. We provide new observations for efficiently constructing circuits and computing MC, combined with a popular pathfinding algorithm named A*. In our search, the A* algorithm outputs a path of length MC, corresponding to an MC-optimal circuit. Based on an in-depth analysis of the process of computing MC, we enable the A* algorithm to function within our graph to investigate a wider range of S-boxes than existing methods such as the SAT-solver-based tool
[1]
and
LIGHTER[2]
. We provide implementable MC-optimal circuits for all the quadratic 5-bit bijective S-boxes and existing 5-bit almost-perfect nonlinear (APN) S-boxes. Furthermore, we present MC-optimal circuits for 6-bit S-boxes such as Sarkar Gold, Sarkar Quadratic, and some quadratic permutations. Finally, we theoretically demonstrate new lower bounds for the MCs of S-boxes, providing tighter bounds for the MCs of
AES
and
MISTY
S-boxes than previously known. This study complements previous results on MC-optimal S-box circuits and is intended to provide further insight into this field.
期刊介绍:
The IEEE Transactions on Computers is a monthly publication with a wide distribution to researchers, developers, technical managers, and educators in the computer field. It publishes papers on research in areas of current interest to the readers. These areas include, but are not limited to, the following: a) computer organizations and architectures; b) operating systems, software systems, and communication protocols; c) real-time systems and embedded systems; d) digital devices, computer components, and interconnection networks; e) specification, design, prototyping, and testing methods and tools; f) performance, fault tolerance, reliability, security, and testability; g) case studies and experimental and theoretical evaluations; and h) new and important applications and trends.