Multi-Objective Evolution of Strong S-Boxes Using Non-dominated Sorting Genetic Algorithm-II and Chaos for Secure Telemedicine

There exist several performance criteria for cryptographically strong substitution boxes which are often conflicting with each other. Constructing S-boxes that satisfy multiple criteria with optimal tradeoffs is one of the challenging tasks for cryptographers. In practice, the existing S-box designi...

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Vydané v:	IEEE access Ročník 10; s. 1
Hlavní autori:	Ahmad, Musheer, Alkanhel, Reem, El-Shafai, Walid, Algarni, Abeer D., Abd El-Samie, Fathi E., Soliman, Naglaa F.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Autocorrelation functions Boxes Chaotic communication Chaotic map Cryptography Design optimization Encryption Genetic algorithms Medical imaging Multi-Objective Evolution Multiple criterion Multiple objective analysis Nonlinearity NSGA-II Optimization Pareto optimization Pareto optimum Performance assessment Permutations Sociology Sorting algorithms Statistics Substitution box Telemedicine
ISSN:	2169-3536, 2169-3536
On-line prístup:	Získať plný text
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