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/0000-0002-5229-4018en_US
dc.authoridhttps://orcid.org/0000-0002-7687-9061en_US
dc.authoridhttps://orcid.org/0000-0002-2481-0230en_US
dc.authorscopusid36705310900en_US
dc.authorscopusid57188968069en_US
dc.authorscopusid36728602600en_US
dc.authorwosidD-7354-2015en_US
dc.authorwosidABH-7309-2020en_US
dc.authorwosidG-2829-2015en_US
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.issued2021en_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
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.en_US
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-xen_US
dc.identifier.doi10.1007/s11071-021-06675-xen_US
dc.identifier.endpage1909en_US
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85109383294en_US
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.wos000670730000004en_US
dc.identifier.wosqualityQ1en_US
dc.institutionauthorÜstün, Deniz
dc.language.isoengen_US
dc.publisherSpringer Linken_US
dc.relation.ispartofNonlinear Dynamicsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_US
dc.subjectImage encryptionen_US
dc.subjectChaotic mapen_US
dc.subjectOptimization algorithmen_US
dc.subjectMulti-objective optimizationen_US
dc.subjectArtificial bee colonyen_US
dc.subjectArtificial bee colony algorithms (ABC)en_US
dc.subjectEmpirical modelen_US
dc.subjectImage encryption schemeen_US
dc.subjectInformation entropyen_US
dc.subjectLyapunov exponenten_US
dc.subjectMulti-objective functionsen_US
dc.subjectOptimization algorithmsen_US
dc.subjectPermutation entropyen_US
dc.titleAn image encryption scheme based on an optimal chaotic map derived by multi-objective optimization using ABC algorithmen_US
dc.typearticleen_US

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