Novel image pixel scrambling technique for efficient color image encryption in resource-constrained IoT devices

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dc.authoridHanbay, Davut/0000-0003-2271-7865
dc.authoridINCE, Cemile/0000-0002-4638-8501
dc.authorwosidHanbay, Davut/AAG-8511-2019
dc.contributor.authorInce, Cemile
dc.contributor.authorInce, Kenan
dc.contributor.authorHanbay, Davut
dc.date.accessioned2024-08-04T20:55:06Z
dc.date.available2024-08-04T20:55:06Z
dc.date.issued2024
dc.departmentİnönü Üniversitesien_US
dc.description.abstractIn the digital age, where data is a valuable commodity, securing sensitive information has become a growing concern. Image encryption techniques play an essential role in protecting visual data from unauthorized access and ensuring privacy. However, with limited computing capacity in Internet of Things (IoT) devices, standard encryption algorithms are not feasible, rendering lightweight methods mandatory. This study proposes a novel Corner Traversal algorithm, an alternative to existing pixel scrambling techniques. The proposed algorithm demonstrably outperforms its counterparts in both higher confusion and lower time complexity, making it remarkably efficient. Integrated with chaos-based diffusion methods, this algorithm forms a comprehensive encryption scheme. The proposed lightweight image encryption scheme utilizing the Corner Traversal algorithm successfully passed rigorous statistical and differential security analysis. Compared to similar schemes, the proposed encryption scheme employing the Corner Traversal algorithm in the confusion phase distinguishes itself through exceptional NPCR (99.6093 for Lenna) and UACI (33.4648 for Lenna) values. Combined with other evaluation criteria, this method demonstrably meets the stringent security requirements of IoT systems.en_US
dc.description.sponsorshipInonu Universityen_US
dc.description.sponsorshipNo Statement Availableen_US
dc.identifier.doi10.1007/s11042-024-18620-2
dc.identifier.issn1380-7501
dc.identifier.issn1573-7721
dc.identifier.scopus2-s2.0-85185294792en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1007/s11042-024-18620-2
dc.identifier.urihttps://hdl.handle.net/11616/101826
dc.identifier.wosWOS:001167114200016en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofMultimedia Tools and Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectLightweight image encryptionen_US
dc.subjectInternet of thingsen_US
dc.subjectChaotic mapsen_US
dc.subjectZigzagen_US
dc.subjectCorner traverse algorithmen_US
dc.subjectPixel scramblingen_US
dc.titleNovel image pixel scrambling technique for efficient color image encryption in resource-constrained IoT devicesen_US
dc.typeArticleen_US

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