Random Strip Peeling: A novel lightweight image encryption for IoT devices based on colour planes permutation

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dc.contributor.authorInce, Kenan
dc.contributor.authorInce, Cemile
dc.contributor.authorHanbay, Davut
dc.date.accessioned2026-04-04T13:33:39Z
dc.date.available2026-04-04T13:33:39Z
dc.date.issued2025
dc.departmentİnönü Üniversitesi
dc.description.abstractThis paper introduces a novel lightweight colour image encryption algorithm, specifically designed for resource-constrained environments such as Internet of Things (IoT) devices. As IoT systems become increasingly prevalent, secure and efficient data transmission becomes crucial. The proposed algorithm addresses this need by offering a robust yet resource-efficient solution for image encryption. Traditional image encryption relies on confusion and diffusion steps. These stages are generally implemented linearly, but this work introduces a new RSP (Random Strip Peeling) algorithm for the confusion step, which disrupts linearity in the lightweight category by using two different sequences generated by the 1D Tent Map with varying initial conditions. The diffusion stage then employs an XOR matrix generated by the Logistic Map. Different evaluation metrics, such as entropy analysis, key sensitivity, statistical and differential attacks resistance, and robustness analysis demonstrate the proposed algorithm's lightweight, robust, and efficient. The proposed encryption scheme achieved average metric values of 99.6056 for NPCR, 33.4397 for UACI, and 7.9914 for information entropy in the SIPI image dataset. It also exhibits a time complexity of O(2xMxN) $O(2\times M\times N)$ for an image of size MxN $M\times N$.
dc.description.sponsorshipTurkiye Bilimsel ve Teknolojik Arastirma Kurumu
dc.description.sponsorshipTurkiye Bilimsel ve Teknolojik Arastirma Kurumu
dc.identifier.doi10.1049/cit2.12401
dc.identifier.endpage544
dc.identifier.issn2468-6557
dc.identifier.issn2468-2322
dc.identifier.issue2
dc.identifier.orcid0000-0002-4638-8501
dc.identifier.orcid0000-0003-2271-7865
dc.identifier.scopus2-s2.0-105003094138
dc.identifier.scopusqualityQ1
dc.identifier.startpage529
dc.identifier.urihttps://doi.org/10.1049/cit2.12401
dc.identifier.urihttps://hdl.handle.net/11616/109304
dc.identifier.volume10
dc.identifier.wosWOS:001389869600001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherWiley
dc.relation.ispartofCaai Transactions on Intelligence Technology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250329
dc.subjectchaotic scrambling
dc.subjectcryptography
dc.subjectimage forensics
dc.subjectIoT image encryption
dc.subjectlightweight encryption
dc.titleRandom Strip Peeling: A novel lightweight image encryption for IoT devices based on colour planes permutation
dc.typeArticle

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