Utilizing Ant Colony Optimization to Construct an S-Box Based on the 2D Logistic-Sine Coupled Map

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dc.authoridhttps://orcid.org/0000-0002-5229-4018
dc.authoridhttps://orcid.org/0000-0002-2084-6260
dc.authorscopusid55420759300
dc.authorscopusid36728602600
dc.authorwosidGQB-3301-2022
dc.authorwosidABB-4228-2020
dc.contributor.authorŞahinkaya, Serap
dc.contributor.authorÜstün, Deniz
dc.date.accessioned2024-07-31T10:31:19Z
dc.date.available2024-07-31T10:31:19Z
dc.date.issued2024
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description.abstractACO is a combinatorial optimization method that draws inspiration from food searching, pheromone trails, and heuristic information employed by ants. The Substitution Box (S-Box) holds significant importance within symmetric key cryptography algorithms, notably in block ciphers. A secure S-Box requires high non-linearity, resistance to algebraic attacks, and diffusion of input changes to output changes. This study investigates the utilization of ACO for constructing an S-Box, employing the 2D Logistic-Sine Coupled Map (2D-LSCM) as the underlying framework. More precisely, a version of ACO for continuous optimization is used for optimizing the parameters of 2DLSCM. This chaotic map is used for an effective shuffling of an S-Box component and in the permutation of an image encryption. The analyses of results and security provide evidence that S-Box exhibits a high level of security suitable for an image encryption scheme.
dc.identifier.citationŞahinkaya, S., Ustun, D. (2024). Utilizing Ant Colony Optimization to Construct an S-Box Based on the 2D Logistic-Sine Coupled Map. In: Dey, N. (eds) Applications of Ant Colony Optimization and its Variants. Springer Tracts in Nature-Inspired Computing. Springer, Singapore. https://doi.org/10.1007/978-981-99-7227-2_6
dc.identifier.doi10.1007/978-981-99-7227-2_6
dc.identifier.endpage122en_US
dc.identifier.startpage97en_US
dc.identifier.urihttps://doi.org/10.1007/978-981-99-7227-2_6
dc.identifier.urihttps://hdl.handle.net/20.500.13099/301
dc.institutionauthorŞahinkaya, Serap
dc.institutionauthorÜstün, Deniz
dc.language.isoen
dc.publisherSpringer Nature Singapore
dc.relation.ispartofApplications of Ant Colony Optimization and its Variants
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectSubstitution Box
dc.subjectS-Box
dc.subjectcryptography algorithms
dc.subjectutilization of ACO
dc.subject2D Logistic
dc.subject2D Logistic-Sine Coupled Map
dc.subject2D-LSCM
dc.subject2DLSCM
dc.titleUtilizing Ant Colony Optimization to Construct an S-Box Based on the 2D Logistic-Sine Coupled Map
dc.typeBook Part

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