Gesture-Based Human Verification with Blockchain: A Secure and Usable Authentication Framework

Gesture-Based Human Verification with Blockchain: A Secure and Usable Authentication Framework | 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 Gesture-Based Human Verification with Blockchain: A Secure and Usable Authentication Framework Divesh Sarkar, Divesh Sarkar This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6844792/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 Traditional CAPTCHA mechanisms—such as dis- torted text and image selection challenges—are increasingly ineffective against modern machine learning-driven bots. This vulnerability is especially critical in decentralized applications (dApps) and Web3 platforms, where automated exploits like front-running and flash loan attacks result in substantial losses. In this work, we introduce a novel, gesture-based CAPTCHA system integrated with on-chain commit–reveal cryptographic verification and EIP-712 wallet signatures. By capturing behav- ioral nuances in user-drawn gestures and securing them through nonce-enhanced hashing and time-bound verification, our system offers two security tiers: a rapid-access ”Normal Mode” and a tamper-resistant ”Hyper-Security Mode.” Evaluations show over 97% accuracy with a low error rate (3%), minimal user abandonment (0.2%), and high satisfaction (9.3/10). This frame- work strengthens human-bot separation in trustless environments and establishes a scalable, user-friendly model for decentralized identity validation. Gesture CAPTCHA Commit-Reveal EIP-712 Web3 Security Human Verification Behavioral Biometrics Bot Defense On-chain Authentication 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. 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-6844792","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":468423824,"identity":"9ae8b0bc-0238-48b2-9f39-1807cece8099","order_by":0,"name":"Divesh Sarkar","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABAklEQVRIiWNgGAWjYDCCw0DM2AAkeBgYmP8Y2IC4jQeI1sLAU5EG5uLXcgBFy5nDcEGcgO84j+HDnzvq5M17Dj/7INl23m5t+2GgLTU20bi0SB7mMTbmPXPYcM7ZNuMZhm23k7edSQRqOZaW24BDi8FhtjRpxrYDjDP4GYwZEoFazA4AtTA2HManJf3nz7Y6+xn87J8ZDradSzY7/5CQFuZjDLxtzIkzeHuMGRvOHLAzu0HAFsnDzIeledsOJ8/gOVPMzFCRnGB2A2hLAh6/8J0/2PgR6DDbGTzpm5kZDOzszc6nP3zwocYGpxYMkAhWmUCschCwJ0XxKBgFo2AUjAwAADuWZMNrsyqlAAAAAElFTkSuQmCC","orcid":"","institution":"Sikkim Professional university","correspondingAuthor":true,"prefix":"","firstName":"Divesh","middleName":"","lastName":"Sarkar","suffix":""},{"id":468423825,"identity":"7c5afa84-b73e-4b69-8dd0-481be8fee66f","order_by":1,"name":"Divesh Sarkar","email":"","orcid":"","institution":"Sikkim Professional university","correspondingAuthor":false,"prefix":"","firstName":"Divesh","middleName":"","lastName":"Sarkar","suffix":""}],"badges":[],"createdAt":"2025-06-07 22:53:10","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6844792/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6844792/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":84478224,"identity":"f5157268-97c2-4ca7-9f09-d2ad25368604","added_by":"auto","created_at":"2025-06-12 12:02:09","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":816637,"visible":true,"origin":"","legend":"","description":"","filename":"document.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6844792/v1_covered_64315ca8-40e0-40bd-8f0e-0e49dba9b2e0.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Gesture-Based Human Verification with Blockchain: A Secure and Usable Authentication Framework","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"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":"Gesture CAPTCHA, Commit-Reveal, EIP-712, Web3 Security, Human Verification, Behavioral Biometrics, Bot Defense, On-chain Authentication","lastPublishedDoi":"10.21203/rs.3.rs-6844792/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6844792/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Traditional CAPTCHA mechanisms—such as dis-\ntorted text and image selection challenges—are increasingly\nineffective against modern machine learning-driven bots. This\nvulnerability is especially critical in decentralized applications\n(dApps) and Web3 platforms, where automated exploits like\nfront-running and flash loan attacks result in substantial losses.\nIn this work, we introduce a novel, gesture-based CAPTCHA\nsystem integrated with on-chain commit–reveal cryptographic\nverification and EIP-712 wallet signatures. By capturing behav-\nioral nuances in user-drawn gestures and securing them through\nnonce-enhanced hashing and time-bound verification, our system\noffers two security tiers: a rapid-access ”Normal Mode” and\na tamper-resistant ”Hyper-Security Mode.” Evaluations show\nover 97% accuracy with a low error rate (3%), minimal user\nabandonment (0.2%), and high satisfaction (9.3/10). 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