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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Veröffentlicht in:	IEEE access Jg. 10; S. 1
Hauptverfasser:	Ahmad, Musheer, Alkanhel, Reem, El-Shafai, Walid, Algarni, Abeer D., Abd El-Samie, Fathi E., Soliman, Naglaa F.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
Online-Zugang:	Volltext
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