Trade-Offs for S-boxes: Cryptographic Properties and Side-Channel Resilience

Claude Carlet, Annelie Heuser, Stjepan Picek*

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

11 Citations (Scopus)


When discussing how to improve side-channel resilience of a cipher, an obvious direction is to use various masking or hiding countermeasures. However, such schemes come with a cost, e.g. an increase in the area and/or reduction of the speed. When considering lightweight cryptography and various constrained environments, the situation becomes even more difficult due to numerous implementation restrictions. However, some options are possible like using S-boxes that are easier to mask or (more on a fundamental level), using S-boxes that possess higher inherent side-channel resilience. In this paper we investigate what properties should an S-box possess in order to be more resilient against side-channel attacks. Moreover, we find certain connections between those properties and cryptographic properties like nonlinearity and differential uniformity. Finally, to strengthen our theoretical findings, we give an extensive experimental validation of our results.

Original languageEnglish
Title of host publicationApplied Cryptography and Network Security
Subtitle of host publication15th International Conference, ACNS 2017, Proceedings
EditorsD. Gollmann, A. Miyaji, H. Kikuchi
Place of PublicationCham
Number of pages22
ISBN (Electronic)978-3-319-61204-1
ISBN (Print)978-3-319-61203-4
Publication statusPublished - 2017
EventApplied Cryptography and Network Security: 15th International Conference ACNS 2017 - Kanazawa, Japan
Duration: 10 Jul 201712 Jul 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceApplied Cryptography and Network Security
Abbreviated titleACNS 2017


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