Ultra-lightweight cryptographic algorithm for resource constraints medical IoT devices to enhance healthcare security

Ultra-lightweight cryptographic algorithm for resource constraints medical IoT devices to enhance healthcare security | 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 Ultra-lightweight cryptographic algorithm for resource constraints medical IoT devices to enhance healthcare security Abdul Muhammed Rasheed, R. Mathusoothana S. Kumar This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7370578/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract IoT devices present hurdles in device management, privacy, centralized system failures, and malicious assaults in the healthcare industry. Medical photos and EHRs must be securely transferred between cloud-based services and IoT devices. The healthcare industry uses IoT extensively, but many firms are ignorant of its security weaknesses, which affect encryption and authentication. Traditional IoT health solutions often lack the security, authentication, and identity management needed to securely transmit data with these devices. The work proposes lightweight encryption for resource-controlled health IoT devices. ASCONv 1.2 encryption and decryption are used for efficiency. The Hypercube Optimal Search Algorithm can optimize keys and other parameters to make ASCONv 1.2's resource constraints more relevant. The Modified Wild Keys (MWG) algorithm improves local and global search and medical IoT device resource efficiency. Comparing this technology to traditional encryption, experimental results show 16.859% higher dependability and 15.36% lower processing time. PSNR, MSE, BER, and structural similarity index are crucial performance evaluation metrics that verify our model works well. ASCONv1.2 lightweight cryptography medical IoT devices healthcare security data sharing Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version 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. 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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-7370578","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":502436157,"identity":"5fc25b01-5a74-4f79-86ab-c321a2d205ad","order_by":0,"name":"Abdul Muhammed Rasheed","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA7klEQVRIie3PIQ+CQBTA8XeykXRUHH4InBsE/SYWTRSuE9CdBQszG5h+BS3mY7dhYbNZKFiwGIwUnYfTYECIbt5/u90L77fdAYhEv5nMj6QDoBkFp5glUpsQCnExo9oEgCKvuCqIOd9n6dXp9/QjI6y1mgyVOSe5syslndg2u8vYMvRkzMluj5cMEeTHSSlRwZa1lscGLxJhwomEvC9EOWfa7f4mQYTXlUQdGRoi7PUw4uJNNbkYbT+yem1OwiCieMtJ+PUvipWpudvvLhLrlF7cKV4dWJjmTjn5qNEE9hxovX0eymFae1kkEon+pwdwdGE4dwPnqAAAAABJRU5ErkJggg==","orcid":"","institution":"Noorul Islam University","correspondingAuthor":true,"prefix":"","firstName":"Abdul","middleName":"Muhammed","lastName":"Rasheed","suffix":""},{"id":502436158,"identity":"2acab1d4-ccb9-490f-8584-4102bbd4729c","order_by":1,"name":"R. 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