SORCHIC: Second Order Reversible Cellular Automata based Hybrid Image Cipher for IoT applications

SORCHIC: Second Order Reversible Cellular Automata based Hybrid Image Cipher for IoT applications | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article SORCHIC: Second Order Reversible Cellular Automata based Hybrid Image Cipher for IoT applications Vijaya Bhaskara Rao, Umashankar Rawat, Satyabrata Roy, Chhagan Lal This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3969055/v2 This work is licensed under a CC BY 4.0 License Status: Posted Version 2 posted You are reading this latest preprint version Show more versions Abstract In the rapidly evolving digital world, ensuring secure data transmission, especially in image data pivotal to modern communication, remains critical. The Internet of Things (IoT) amplifies the need for encryption systems that blend robust security with efficiency. However, current cryptosystems often compromise one for the other. To address this, emerging algorithmic techniques aim to strike a balance. Among these, First Order Cellular Automata (FOCA) show promise for image encryption, aligning seamlessly with image processing intricacies while maintaining lower implementation complexity. This paper introduces SORCHIC, a novel hybrid encryption algorithm designed specifically for IoT applications encrypting multichannel images. Leveraging Second-Order Cellular Automata (SOCA) and Chaotic Maps, SORCHIC undergoes comprehensive exploration within this work. Detailed insights into its inner workings are provided, followed by a rigorous experimental analysis comparing it to existing encryption methods. The results underscore SORCHIC’s resilience against diverse cryptanalysis attacks and highlight its superior efficiency compared to established techniques. This study contributes to advancing encryption methods, particularly in IoT, by presenting a robust, efficient, and secure approach tailored for image data transmission. Cellular Automata Chaotic Map Hybrid Image Cipher IoT Image encryption Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 2 posted You are reading this latest preprint version Show more versions Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3969055","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":273818176,"identity":"fd4fc971-0790-4fe8-9f13-258370d9b6a8","order_by":0,"name":"Vijaya Bhaskara Rao","email":"","orcid":"","institution":"Manipal University Jaipur","correspondingAuthor":false,"prefix":"","firstName":"Vijaya","middleName":"Bhaskara","lastName":"Rao","suffix":""},{"id":273818177,"identity":"7b8fb21b-4c29-43b8-8761-a10cd438b40e","order_by":1,"name":"Umashankar Rawat","email":"","orcid":"","institution":"Manipal University Jaipur","correspondingAuthor":false,"prefix":"","firstName":"Umashankar","middleName":"","lastName":"Rawat","suffix":""},{"id":273818178,"identity":"e8196f70-6a70-4c58-97d1-8806e4301ada","order_by":2,"name":"Satyabrata Roy","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABBUlEQVRIie2PMUvEMBTHX3gSl6hri3L5CpFOouJXSQh06rnc0rFQ6C3VWxWHfoubFSHTgetJJuks9LilSBF7B+pk6iiYH7yXN/x/jzwAj+fPksrR9m36oruDcexrISOgAORmo+BvFFJItVGQfe5wwadPJmhpLHmVm/XZ25zvI5BmlfysiIWmYcmSS2Govhtf2+MCAcPbuUMBTQMWpBNBWYTj0pJeobjnUPispmEnUlUVB2s8Ke3FoAJLTQ+ZTFRmGCK0Vg0qYllHp0f3cSRMHJGrzOoCSe68hc/Uy/Prux7x/LGGtrPn1TR/aFaujwHsBF8jKbY9c+Z7sPmeu6Gwx+Px/Ec+ACewTGe/U/NSAAAAAElFTkSuQmCC","orcid":"","institution":"Manipal University Jaipur","correspondingAuthor":true,"prefix":"","firstName":"Satyabrata","middleName":"","lastName":"Roy","suffix":""},{"id":339281248,"identity":"bc248f83-6913-4094-8f9a-be996ad48575","order_by":3,"name":"Chhagan Lal","email":"","orcid":"","institution":"NTNU, Norway","correspondingAuthor":false,"prefix":"","firstName":"Chhagan","middleName":"","lastName":"Lal","suffix":""}],"badges":[],"createdAt":"2024-02-19 05:51:40","currentVersionCode":2,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-3969055/v2","doiUrl":"https://doi.org/10.21203/rs.3.rs-3969055/v2","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":63648471,"identity":"768ec4c4-3cf3-437b-a27f-97c5a3faaa48","added_by":"auto","created_at":"2024-08-30 14:29:14","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":5509381,"visible":true,"origin":"","legend":"","description":"","filename":"accessclean.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3969055/v2_covered_251650e5-0038-424d-b5e1-b358c8138b67.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"SORCHIC: Second Order Reversible Cellular Automata based Hybrid Image Cipher for IoT applications","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Cellular Automata, Chaotic Map, Hybrid Image Cipher, IoT, Image encryption","lastPublishedDoi":"10.21203/rs.3.rs-3969055/v2","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3969055/v2","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"In the rapidly evolving digital world, ensuring secure data transmission, especially in image data pivotal to modern communication, remains critical. 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