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A characterisation of S-box fitness landscapes in cryptography (CROSBI ID 680631)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Jakobović, Domagoj ; Picek, Stjepan ; Martins, Marcella S. R. ; Wagner, Markus A characterisation of S-box fitness landscapes in cryptography // Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2019. 2019. str. 285-293 doi: 10.1145/3321707.3321850

Podaci o odgovornosti

Jakobović, Domagoj ; Picek, Stjepan ; Martins, Marcella S. R. ; Wagner, Markus

engleski

A characterisation of S-box fitness landscapes in cryptography

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.

Security ; substitution boxes ; landscape analysis ; local optima networks

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Podaci o prilogu

285-293.

2019.

objavljeno

10.1145/3321707.3321850

Podaci o matičnoj publikaciji

Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2019

Podaci o skupu

Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2019

predavanje

13.07.2019-17.07.2019

Prag, Češka Republika

Povezanost rada

Računarstvo

Poveznice