Blockchain-Based Remote Data Integrity Auditing Schemewith Deduplication Mechanism

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Abstract

Remote data integrity auditing (RDIA) schemes can inspect the integrity of outsourced data. Anddeduplication improves the utilization of cloud storage space. Therefore, a considerable number ofremote data integrity auditing schemes with deduplication mechanism (RDIA-DE) have been proposedby researchers. However, most of these schemes suffer from the following shortcomings. Initially,these schemes rely on honest and trustworthy third-party auditors (TPAs), which were difficult toachieve in reality. Additionally, the computational overhead of the proof-of-ownership (PoW) algorithmsincreases linearly with the number of challenged data blocks. In this paper, we put forward anovel RDIA-DE scheme based on blockchain. This scheme utilizes smart contracts to conduct dataintegrity audits, thereby eliminating the dependency on TPA and penalizing malicious cloud storageproviders. Subsequently, we provided security proofs under the random oracle model (ROM). Ultimately,we conducted a performance analysis on six RDIA-DE schemes. The results demonstrate thatthe new scheme enjoys significant efficiency advantages.
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Blockchain-Based Remote Data Integrity Auditing Schemewith Deduplication Mechanism | 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 Blockchain-Based Remote Data Integrity Auditing Schemewith Deduplication Mechanism Shuai Feng, Lunzhi Deng, Yan Gao, Yaying Wu, Jian Wen This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4222389/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 14 You are reading this latest preprint version Abstract Remote data integrity auditing (RDIA) schemes can inspect the integrity of outsourced data. Anddeduplication improves the utilization of cloud storage space. Therefore, a considerable number ofremote data integrity auditing schemes with deduplication mechanism (RDIA-DE) have been proposedby researchers. However, most of these schemes suffer from the following shortcomings. Initially,these schemes rely on honest and trustworthy third-party auditors (TPAs), which were difficult toachieve in reality. Additionally, the computational overhead of the proof-of-ownership (PoW) algorithmsincreases linearly with the number of challenged data blocks. In this paper, we put forward anovel RDIA-DE scheme based on blockchain. This scheme utilizes smart contracts to conduct dataintegrity audits, thereby eliminating the dependency on TPA and penalizing malicious cloud storageproviders. Subsequently, we provided security proofs under the random oracle model (ROM). Ultimately,we conducted a performance analysis on six RDIA-DE schemes. The results demonstrate thatthe new scheme enjoys significant efficiency advantages. Cloud storage Data integrity auditing Deduplication Blockchain Smart contract Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 04 Jun, 2024 Reviews received at journal 25 Apr, 2024 Reviews received at journal 24 Apr, 2024 Reviews received at journal 23 Apr, 2024 Reviews received at journal 16 Apr, 2024 Reviewers agreed at journal 16 Apr, 2024 Reviewers agreed at journal 16 Apr, 2024 Reviewers agreed at journal 14 Apr, 2024 Reviewers agreed at journal 14 Apr, 2024 Reviewers agreed at journal 14 Apr, 2024 Reviewers invited by journal 14 Apr, 2024 Editor assigned by journal 14 Apr, 2024 Submission checks completed at journal 09 Apr, 2024 First submitted to journal 05 Apr, 2024 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. 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