Grey wolf optimizer and discrete chaotic map for substitution boxes design and optimization

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dc.contributor.authorLawah, Ali Ibrahim
dc.contributor.authorIbrahim, Abdullahi Abdu
dc.contributor.authorSalih, Sinan Q.
dc.contributor.authorAlhadawi, Hussam S.
dc.contributor.authorJosephNg, Poh Soon
dc.date.accessioned2023-05-10T10:01:00Z
dc.date.available2023-05-10T10:01:00Z
dc.date.issued2023en_US
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalıen_US
dc.description.abstractA metaheuristic approach based on the nature-inspired and well-known Grey Wolf Optimization algorithm (GWO) was employed in this study to design an approach for retrieving strong designs of 8×8 substitution boxes (S-boxes). The GWO was developed as a novel metaheuristic based on inspiration from grey wolves and how they hunt. The ability of the GWO to quickly explore the search space for the near/optimal feature subsets that maximize any given fitness function (in consideration of its distinctive hierarchical structure) aids in the construction of strong S-boxes that can satisfy the required criteria. However, when tackling optimization problems, GWO may experience the problem of premature convergence. Therefore, a variant of GWO called Crossover Grey Wolf Optimizer (XGWO) has been proposed in this study. The performance of the proposed novel approach was evaluated using numerous cryptographic performance metrics, including bijective property, bit independence, strict avalanche, linear probability, and I/O XOR distribution and the result was contrasted with a couple of existing S-box creation techniques. Overall, the results of the experiment showed that the suggested S-box design had adequate cryptographic features. Authoren_US
dc.identifier.citationLawah, A. I., Ibrahim, A. A., Salih, S. Q., Alhadawi, H. S., & JosephNg, P. S. (2023). Grey wolf optimizer and discrete chaotic map for substitution boxes design and optimization. IEEE Access.en_US
dc.identifier.issn2169-3536
dc.identifier.scopus2-s2.0-85153509150
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://hdl.handle.net/20.500.12939/3488
dc.identifier.wosWOS:000982348700001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorLawah, Ali Ibrahim
dc.institutionauthorIbrahim, Abdullahi Abdu
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofIEEE Access
dc.relation.isversionof10.1109/ACCESS.2023.3266290en_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - İdari Personel ve Öğrencien_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCryptographyen_US
dc.subjectCryptologyen_US
dc.subjectEncryptionen_US
dc.subjectGrey wolf optimizeren_US
dc.subjectLogisticsen_US
dc.subjectMeasurementen_US
dc.subjectMetaheuristicsen_US
dc.subjectNature-Inspired Algorithmsen_US
dc.subjectOptimizationen_US
dc.subjectOptimizationen_US
dc.subjectStandardsen_US
dc.subjectSubstitution boxesen_US
dc.titleGrey wolf optimizer and discrete chaotic map for substitution boxes design and optimization
dc.typeArticle

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