An image encryption scheme based on an optimal chaotic map derived by multi-objective optimization using ABC algorithm

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dc.authoridhttps://orcid.org/0000-0002-5229-4018
dc.authoridhttps://orcid.org/0000-0002-7687-9061
dc.authoridhttps://orcid.org/0000-0002-2481-0230
dc.authorscopusid36705310900
dc.authorscopusid57188968069
dc.authorscopusid36728602600
dc.authorwosidD-7354-2015
dc.authorwosidABH-7309-2020
dc.authorwosidG-2829-2015
dc.contributor.authorToktaş, Abdurrahim
dc.contributor.authorÜstün, Deniz
dc.contributor.authorErkan, Uğur
dc.date.accessioned2024-08-01T14:22:37Z
dc.date.available2024-08-01T14:22:37Z
dc.date.issued2021
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description.abstractA novel optimal chaotic map (OCM) is proposed for image encryption scheme (IES). The OCM is constructed using a multi-objective optimization strategy through artificial bee colony (ABC) algorithm. An empirical model for the OCM with four unknown variables is first constituted, and then, these variables are optimally found out using ABC for minimizing the multi-objective function composed of the information entropy and Lyapunov exponent (LE) of the OCM. The OCM shows better chaotic attributes in the evaluation analyses using metrics such as bifurcation, 3D phase space, LE, permutation entropy (PE) and sample entropy (SE). The encrypting performance of the OCM is demonstrated on a straightforward IES and verified by various cryptanalyses that compared with many reported studies, as well. The main superiority of the OCM over the studies based on optimization is that it does not require any optimization in the encrypting operation; thus, OCM works standalone in the encryption. However, those reported studies use ciphertext images obtained through encrypting process in every cycle of optimization algorithm, resulting in long processing time. Therefore, the IES with OCS is faster than the others optimization-based IES. Furthermore, the proposed IES with the OCM manifests satisfactory outcomes for the compared results with the literature.
dc.identifier.citationToktaş, A., Erkan, U. ve Üstün, D. (2021). An image encryption scheme based on an optimal chaotic map derived by multi-objective optimization using ABC algorithm. Nonlinear Dyn,105, 1885–1909. Erişim adresi: https://doi.org/10.1007/s11071-021-06675-x
dc.identifier.doi10.1007/s11071-021-06675-x
dc.identifier.endpage1909en_US
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85109383294
dc.identifier.scopusqualityQ1
dc.identifier.startpage1885en_US
dc.identifier.urihttps://doi.org/10.1007/s11071-021-06675-x
dc.identifier.urihttps://hdl.handle.net/20.500.13099/319
dc.identifier.volume105en_US
dc.identifier.wosWOS:000670730000004
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorÜstün, Deniz
dc.language.isoen
dc.publisherSpringer Link
dc.relation.ispartofNonlinear Dynamics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectImage encryption
dc.subjectChaotic map
dc.subjectOptimization algorithm
dc.subjectMulti-objective optimization
dc.subjectArtificial bee colony
dc.subjectArtificial bee colony algorithms (ABC)
dc.subjectEmpirical model
dc.subjectImage encryption scheme
dc.subjectInformation entropy
dc.subjectLyapunov exponent
dc.subjectMulti-objective functions
dc.subjectOptimization algorithms
dc.subjectPermutation entropy
dc.titleAn image encryption scheme based on an optimal chaotic map derived by multi-objective optimization using ABC algorithm
dc.typeArticle

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