A New Method for Designing Lightweight S-Boxes With High Differential and Linear Branch Numbers, and its Application

Kim, Hangi; Jeon, Yongjin; Kim, Giyoon; Kim, Jongsung; Sim, Bo-Yeon; Han, Dong‐Guk; Seo, Hwajeong; Kim, Seonggyeom; Hong, Seokhie; Sung, Jaechul; Hong, Deukjo

doi:10.1109/access.2021.3126008

Cited by 5 publications

(3 citation statements)

References 18 publications

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“…The independence matrix values of an n-bit S-Box are defined as Equation (6). The SAC value of an S-Box is taken as the average of the values of p i,j [56].…”

Section: ) Strict Avalanche Criterion (Sac)mentioning

confidence: 99%

Construction of Robust Lightweight S-Boxes Using Enhanced Logistic and Enhanced Sine Maps

Duong,

Minh Nguyen,

Dao

et al. 2024

IEEE Access

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Substitution boxes (S-Boxes) are essential elements of modern block ciphers, serving as nonlinear characteristics that enhance the resistance of these ciphers against cryptanalysis. This research presents a new approach for constructing lightweight S-Boxes that possess strong cryptographic characteristics by combining an enhanced logistic map and an enhanced sine map. The proposed novel algorithm has optimized multiple parameters according to the security threshold set. This study has conducted the most comprehensive evaluation of criteria for S-Boxes to date. The analysis results of the generated 4×4 and 5×5 S-Boxes have achieved optimal criteria in terms of the Strict Avalanche Criterion (SAC) and the Bit Independence Criterion (BIC) that no previous S-Boxes have achieved. Furthermore, parameters related to side-channel attack resistance have been optimized in the design stage of S-Boxes. The constructed S-Boxes with high security can be applied to replace S-Boxes of the same size in existing algorithms or to develop lightweight block cipher algorithms. This research has made a significant contribution to the construction of S-Boxes.INDEX TERMS S-Box, logistic map, sine map, chaotic map. side-channel attacks.

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“…The independence matrix values of an n-bit S-Box are defined as Equation (6). The SAC value of an S-Box is taken as the average of the values of p i,j [56].…”

Section: ) Strict Avalanche Criterion (Sac)mentioning

confidence: 99%

Construction of Robust Lightweight S-Boxes Using Enhanced Logistic and Enhanced Sine Maps

Duong,

Minh Nguyen,

Dao

et al. 2024

IEEE Access

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“…Since it has fewer non-linear operations than other block ciphers, it can be used as an effective countermeasure against SCA (e.g., higher-order masking). In addition, PIPO provides excellent performance in 8-bit AVR software with the bitslice implementation [21].…”

Section: Background a Bitslice Block Cipher Pipomentioning

confidence: 99%

Deep-Learning-Based Side-Channel Analysis of Block Cipher PIPO With Bitslice Implementation

Woo

Han

2022

IEEE Access

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Recently, as deep learning has been applied to various fields, deep-learning-based side-channel analysis (SCA) has been widely investigated. Unlike traditional SCA, it can perform well independently of the attacker's ability. In this paper, we propose deep-learning-based profiled and non-profiled SCA of PIPO, (Plug-In Plug-Out), which is a bitslice block cipher that can effectively apply a countermeasure for SCA. Our datasets were captured from three different boards (XMEGA128D4, MSP430F2618, STM32F303) running PIPO-64/128. For profiled SCA, the identity (ID) labeling method exhibited better performance than the most significant bit (MSB) and hamming weight (HW) labeling methods. That is, even if each bit of the S-Box output was distributed in the power traces by the bitslice implementation, the neural network trained well each bit of the S-Box output by itself. For non-profiled SCA, we proposed a novel labeling technique that considers bitslice characteristics. We compared our proposed labeling method to MSB and HW labeling by analyzing the three aforementioned datasets. For non-profiled SCA, the proposed labeling method was more effective than the MSB and HW labeling methods on all datasets.INDEX TERMS Side-channel analysis, deep learning, bitslice implementation, block cipher, PIPO, profiled SCA, non-profiled SCA. DONG-GUK HAN received the B.S. and M.S. degrees in mathematics and the Ph.D. degree in information security engineering from Korea

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“…A more substantial and efficient S-box design can increase the security level of the data system and reduce the risk of attacks [2]. Previous research [3]- [12] has proposed various methods and approaches to S-Box construction for data security systems.…”

Section: Introductionmentioning

confidence: 99%

Construction of Substitution Box (S-Box) Based on Irreducible Polynomials on Gf(2^8)

Tita,

Setiawan,

Susanto

2024

BAREKENG: J. Math. & App.

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In the field of modern encryption algorithms, the creation of S-Box is an essential element that plays an important role in maintaining data security in various industries. This article provides a comprehensive review of various S-Box designs, with particular emphasis on essential parameters such as “Average ”, “Average ” and “Non-linearity value”. The main goal is to determine the most optimal S-Box structure to minimize correlation, thereby improving the security and unpredictability of the cryptographic system. Research results indicate that the S-Box characterized by the 1BD hexadecimal code is superior to its counterparts. It has an average value of 4.1953 and an average value of 0.4756. In contrast, the S-Box represented by hexadecimal code 169 displays a relatively lower level of security, with an average d value of 3.8750 and an average value of 0.5156. These results enable security experts and cryptographers to make the correct choice when selecting the S-Box with the minimum correlation value, thereby strengthening cryptographic systems against emerging cyber threats.

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A New Method for Designing Lightweight S-Boxes With High Differential and Linear Branch Numbers, and its Application

Cited by 5 publications

References 18 publications

Construction of Robust Lightweight S-Boxes Using Enhanced Logistic and Enhanced Sine Maps

Construction of Robust Lightweight S-Boxes Using Enhanced Logistic and Enhanced Sine Maps

Deep-Learning-Based Side-Channel Analysis of Block Cipher PIPO With Bitslice Implementation

Construction of Substitution Box (S-Box) Based on Irreducible Polynomials on Gf(2^8)

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