An Adaptive Hybrid Encryption Scheme for Data Compliance in Multi-Source Supervision Environments: A Case Study of Hainan Free Trade Port

An Adaptive Hybrid Encryption Scheme for Data Compliance in Multi-Source Supervision Environments: A Case Study of Hainan Free Trade Port | 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 An Adaptive Hybrid Encryption Scheme for Data Compliance in Multi-Source Supervision Environments: A Case Study of Hainan Free Trade Port He Qi, Xianjun Chen, Feng Qiu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9260011/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 4 You are reading this latest preprint version Abstract As the global digital economy expands, cross-border data transmission confronts the dual imperatives of high-level confidentiality and stringent multi-party regulatory compliance. Existing hybrid and Attribute-Based Encryption (ABE) paradigms frequently fail to reconcile dynamic multi-source supervision with computational efficiency. Traditional multi-authority approaches typically suffer from linear ciphertext expansion and heavy terminal decryption overheads. To bridge this gap, this paper proposes an Adaptive Hybrid Encryption scheme for Multi-Source supervision environments (AHE-MS), contextualized within the Hainan Free Trade Port. Our core theoretical contribution is a zero-knowledge compliance verification architecture. To achieve data-blind compliance verification, we embed regulatory policies into a Linear Secret Sharing Scheme (LSSS) matrix and introduce an aggregate token mechanism rooted in group homomorphisms. By constraining mandatory regulatory attributes to root-level AND gates, AHE-MS allows regulators to append compliance credentials without ciphertext expansion, strictly maintaining an \(\:O\left(1\right)\) communication overhead. Crucially, the regulatory pre-verification offloads pairing computations, significantly alleviating the terminal decryption burden. To ensure secure and practical deployment in high-throughput pipelines, the system integrates a sensitivity-driven KEM/DEM architecture with authenticated downgrade protection. Theoretical analysis proves AHE-MS achieves IND-CPA security under the standard model. Extensive simulations demonstrate that, during multi-source interventions, AHE-MS accelerates terminal decryption by up to 23.8% compared to classic CP-ABE. Hybrid Encryption Multi-source Supervision Attribute-Based Encryption (ABE) Data Compliance Cross-border Data Transmission Aggregate Token Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 31 Mar, 2026 Editor assigned by journal 30 Mar, 2026 Submission checks completed at journal 30 Mar, 2026 First submitted to journal 29 Mar, 2026 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-9260011","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":615187413,"identity":"546ce5b3-fdb8-47fb-90c2-c5c135616f69","order_by":0,"name":"He Qi","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAs0lEQVRIiWNgGAWjYDACZh4Gho8NCSCmAfFaGGeSpoWBh4GZlyQtfMd5Dz623ZEmz8DevE2CoeYOYS2Sh/mSjXPP5Bg28Bwrk2A49oywFoPDPGbSuW0VCQwSOWYSjA2HidJi/tsSpEX+DfFazJgZ23KAtvAQqUXyMI+xZG9bmmEbT1qxRcIxIrTwnT9j+OFnW7I8P/vhjTc+1BChheEAlGYDEQlEaEBoGQWjYBSMglGAEwAArgQ0C5bxkXoAAAAASUVORK5CYII=","orcid":"","institution":"haikou university of economics","correspondingAuthor":true,"prefix":"","firstName":"He","middleName":"","lastName":"Qi","suffix":""},{"id":615187415,"identity":"674bdd5a-01eb-4c8d-80a9-84675ba933b1","order_by":1,"name":"Xianjun Chen","email":"","orcid":"","institution":"haikou university of economics","correspondingAuthor":false,"prefix":"","firstName":"Xianjun","middleName":"","lastName":"Chen","suffix":""},{"id":615187416,"identity":"62cc34b5-de4e-4b7b-8ab9-124723e9b019","order_by":2,"name":"Feng Qiu","email":"","orcid":"","institution":"haikou university of economics","correspondingAuthor":false,"prefix":"","firstName":"Feng","middleName":"","lastName":"Qiu","suffix":""}],"badges":[],"createdAt":"2026-03-29 16:09:45","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-9260011/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9260011/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":106642414,"identity":"ebd2da84-4da2-4dcc-93da-f9a4a9100a5d","added_by":"auto","created_at":"2026-04-10 18:39:45","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":579524,"visible":true,"origin":"","legend":"","description":"","filename":"AnAdaptiveHybridEncryptionSchemeforDataComplianceinMulti.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9260011/v1_covered_2bfe70d5-9770-4698-8e2b-ab5638ad481e.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"An Adaptive Hybrid Encryption Scheme for Data Compliance in Multi-Source Supervision Environments: A Case Study of Hainan Free Trade Port","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"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":"the-journal-of-supercomputing","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"","sideBox":"Learn more about [The Journal of Supercomputing](https://www.springer.com/journal/11227)","snPcode":"11227","submissionUrl":"https://submission.nature.com/new-submission/11227/3","title":"The Journal of Supercomputing","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Hybrid Encryption, Multi-source Supervision, Attribute-Based Encryption (ABE), Data Compliance, Cross-border Data Transmission, Aggregate Token","lastPublishedDoi":"10.21203/rs.3.rs-9260011/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9260011/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eAs the global digital economy expands, cross-border data transmission confronts the dual imperatives of high-level confidentiality and stringent multi-party regulatory compliance. Existing hybrid and Attribute-Based Encryption (ABE) paradigms frequently fail to reconcile dynamic multi-source supervision with computational efficiency. Traditional multi-authority approaches typically suffer from linear ciphertext expansion and heavy terminal decryption overheads. To bridge this gap, this paper proposes an Adaptive Hybrid Encryption scheme for Multi-Source supervision environments (AHE-MS), contextualized within the Hainan Free Trade Port. Our core theoretical contribution is a zero-knowledge compliance verification architecture. To achieve data-blind compliance verification, we embed regulatory policies into a Linear Secret Sharing Scheme (LSSS) matrix and introduce an aggregate token mechanism rooted in group homomorphisms. 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