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https://hdl.handle.net/2440/133156
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Type: | Conference paper |
Title: | A characterisation of S-box fitness landscapes in cryptography |
Author: | Jakobovic, D. Picek, S. Martins, M.S.R. Wagner, M. |
Citation: | Proceedings of the 2019 Genetic and Evolutionary Computation Conference, as published in GECCO 2019, 2019 / LopezIbanez, M. (ed./s), pp.285-293 |
Publisher: | ACM |
Publisher Place: | online |
Issue Date: | 2019 |
ISBN: | 9781450361118 |
Conference Name: | Genetic and Evolutionary Computation Conference (GECCO) (13 Jul 2019 - 17 Jul 2019 : Prague, Czech Republic) |
Editor: | LopezIbanez, M. |
Statement of Responsibility: | Domagoj Jakobovic, Stjepan Picek, Marcella S. R. Martins, Markus Wagner |
Abstract: | Substitution Boxes (S-boxes) are nonlinear objects often used in the design of cryptographic algorithms. The design of high quality S-boxes is an interesting problem that attracts a lot of attention. Many attempts have been made in recent years to use heuristics to design S-boxes, but the results were often far from the previously known best obtained ones. Unfortunately, most of the effort went into exploring different algorithms and fitness functions while little attention has been given to the understanding why this problem is so difficult for heuristics. In this paper, we conduct a fitness landscape analysis to better understand why this problem can be difficult. Among other, we find that almost each initial starting point has its own local optimum, even though the networks are highly interconnected. |
Keywords: | Security; substitution boxes;landscape analysis; local area networks |
Rights: | © 2019 Association for Computing Machinery. |
DOI: | 10.1145/3321707.3321850 |
Grant ID: | http://purl.org/au-research/grants/arc/DE160100850 http://purl.org/au-research/grants/arc/DE160100850 |
Published version: | http://dx.doi.org/10.1145/3321707.3321850 |
Appears in Collections: | Computer Science publications |
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