Finding New Differential Characteristics on SPECK Family

SPECK is a family of lightweight block ciphers. While Sun et al.’s evaluation of SPECK’s differential characteristics was the most effective, it left room for further analysis over longer rounds. In this paper, we use a SAT-based search algorithm to analyze SPECK48, SPECK96, and SPECK128, presenting optimal differential characteristics up to 19, 15, and 11 rounds, respectively. We also explore the best characteristics up to 20 rounds for SPECK48, 18 rounds for SPECK96, and 20 rounds for SPECK128.

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Publication Details

Journal
IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
Published
2024-11-13
DOI
https://doi.org/10.1587/transfun.2024eal2077
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

Finding New Differential Characteristics on SPECK Family

Kosei Sakamoto, Takanori Isobe, Rikuto Kurahara
IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
Radiomics and Machine Learning in Medical Imaging
article

Finding New Differential Characteristics on SPECK Family

Kosei Sakamoto, Takanori Isobe, Rikuto Kurahara
article en

Abstract

SPECK is a family of lightweight block ciphers. While Sun et al.’s evaluation of SPECK’s differential characteristics was the most effective, it left room for further analysis over longer rounds. In this paper, we use a SAT-based search algorithm to analyze SPECK48, SPECK96, and SPECK128, presenting optimal differential characteristics up to 19, 15, and 11 rounds, respectively. We also explore the best characteristics up to 20 rounds for SPECK48, 18 rounds for SPECK96, and 20 rounds for SPECK128.

IEICE Transactions on Fundamentals of Electronics Communications and Computer SciencesVol. E108.A(5)
University of Hyogo (JP), Mitsubishi Electric (United States) (US)
Openalex Percentile: Top 66%
Radiomics and Machine Learning in Medical Imaging
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