SFDB-MLPP: A Secure and Fine-Grained Data Sharing Scheme with Blockchain Based on Multi-Level Privacy Protection

SFDB-MLPP: A Secure and Fine-Grained Data Sharing Scheme with Blockchain Based on Multi-Level Privacy Protection | 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 SFDB-MLPP: A Secure and Fine-Grained Data Sharing Scheme with Blockchain Based on Multi-Level Privacy Protection Junyu Lin, Libo Feng, Jinli Wang, Fei Qiu, Bei Yu, Jing Cheng, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3236735/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 As the network communication and service capabilities rapidly improve in the 5G era, billions of terminal devices achieve global interconnection and intercommunication, which leads to the generation of massive data. However, the existing cloud-based data sharing mechanism faces challenges such as sensitive information leakage and data islands, which makes it difficult to achieve secure sharing across domains. The emerging Blockchain technology can achieve secure transmission among unfamiliar nodes without relying on trusted third parties, which can provide a solution for data sharing in the cloud environment of 5G mobile internet. In this paper, we propose a fine-grained and efficient data sharing scheme based on Blockchain and ciphertext policy attribute-based encryption (CP-ABE), and design a verifiable outsourced computation method to reduce the computational pressure of end users. Secondly, we comprehensively consider the user’s identity privacy and transaction privacy, and propose a multi-level privacy protection method based on ring signature and garbled bloom filter, which enhances the user’s data privacy and availability, and prevents the traceability of requests. Finally, we design a set of interconnected smart contracts, and verify that our scheme can achieve secure and efficient data sharing through security analysis and performance testing. Blockchain Privacy protection Data sharing CP-ABE Ring signature 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-3236735","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":224482438,"identity":"1cc43173-eeaa-43df-a3da-6949577166f6","order_by":0,"name":"Junyu Lin","email":"","orcid":"","institution":"Yunnan University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Junyu","middleName":"","lastName":"Lin","suffix":""},{"id":224482439,"identity":"0321fc2e-0afc-4694-bf3d-f98ac03756da","order_by":1,"name":"Libo Feng","email":"","orcid":"","institution":"Yunnan 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