2006•Unpublished venueRequires access

Utilizing Evolutionary Computation Methods for the Design of S-Boxes

E.C. Laskari, Gerasimos C. Meletiou, Michael N. Vrahatis

Open publisher page 28 citations

Abstract

Among the most important components of many contemporary ciphers are the substitution boxes (S-boxes) and a great amount of research is devoted to their study. In this paper, a new methodology for designing strong S-boxes is proposed and two evolutionary computation methods, the particle swarm optimization and the differential evolution algorithm are employed to tackle the problem at hand. The obtained results are promising and indicate that this novel approach is effective

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What this paper is about

Among the most important components of many contemporary ciphers are the substitution boxes (S-boxes) and a great amount of research is devoted to their study. In this paper, a new methodology for designing strong S-boxes is proposed and two evolutionary computation methods, the particle swarm optimization and the differential evolution algorithm are employed to tackle the problem at hand. The obtained results are promising and indicate that this novel approach is effective

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OpenAlex reports 28 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Among the most important components of many contemporary ciphers are the substitution boxes (S-boxes) and a great amount of research is devoted to their study. In this paper, a new methodology for designing strong S-boxes is proposed and two evolutionary computation methods, the particle swarm optimization and the differential evolution algorithm are employed to tackle the problem at hand. The obtained results are promising and indicate that this novel approach is effective

Key concepts: Evolutionary computation, Differential evolution, Computer science, Particle swarm optimization, Computation, Evolutionary algorithm, Interactive evolutionary computation, S-box

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