Blockchain Enabled Cloud Data Storage Supporting Deduplication With Fair Remittance | 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 Enabled Cloud Data Storage Supporting Deduplication With Fair Remittance V Ezhil Arasi, Mohankumar Bharathiyar This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4628012/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 3 You are reading this latest preprint version Abstract In cloud computing environment data redundancy and data integrity management are the consequential issues. They result in huge space wastage and compromises data security and data accuracy. Data deduplication and data auditing are the techniques used to efficiently reduce storage space and to verify the integrity of the cloud stored data. Most of the existing data deduplication and auditing algorithms are mainly focusing on static data storage environment which does not efficiently fits to the dynamic nature of cloud storage. Integrating data deduplication with integrity verification is very challenging to handle and such existing systems suffers from faking of audit results and data ownership leakage. Also, existing cloud data auditing schemes does not provide compensation to users, if their data integrity is compromised. Blockchain technology with its key features, provides security, trust and efficiency to handle data storage in cloud. In order to solve the issues in existing data auditing integrated deduplication systems, this paper proposes Blockchain incorporated secure cloud data storage system supporting data auditing and deduplication with fair remittance. The implementation results and security analysis confirm that the proposed system outperforms well in terms of data integrity verification and deduplication with enhanced accuracy and security compared to state of the arts. Cloud storage Blockchain Data Integrity Auditing Data Deduplication Data Security Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editor assigned by journal 01 Jul, 2024 Submission checks completed at journal 01 Jul, 2024 First submitted to journal 24 Jun, 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. 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-4628012","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":324648164,"identity":"25453cfc-16e3-4247-ac11-85eb9e5978b6","order_by":0,"name":"V Ezhil Arasi","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAwElEQVRIiWNgGAWjYDACdiBOMGCQA7EPPCBKCzNYi4ExWEsC0VoYGAwSG0AUUVr4mdkfMDwo+JM+P+zwQ6AtdnK6DQS0SDYDjQY6LHfj7TQDoJZkY7MDBLQYHGY4ANEyOwGk5UDiNkJa7A8zNoC0pBvOTv9AnBYDZmZwiCXIS+cQaYvEYTZg2BoYG26QzikAMojwC397+8OHP/7IycvPTt/84UOFnRxBLSAAVmMAIYlQDgfyDaSoHgWjYBSMghEFAP31QERUnOM+AAAAAElFTkSuQmCC","orcid":"","institution":"Vellore Institute of Technology University","correspondingAuthor":true,"prefix":"","firstName":"V","middleName":"Ezhil","lastName":"Arasi","suffix":""},{"id":324648165,"identity":"c93d6a23-a44d-4a2e-abb1-bc2c08fb767d","order_by":1,"name":"Mohankumar Bharathiyar","email":"","orcid":"","institution":"Vellore Institute of Technology University","correspondingAuthor":false,"prefix":"","firstName":"Mohankumar","middleName":"","lastName":"Bharathiyar","suffix":""}],"badges":[],"createdAt":"2024-06-24 06:46:55","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4628012/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4628012/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":60941525,"identity":"16a82d69-d40b-4cc5-9e6d-e57ff40e6795","added_by":"auto","created_at":"2024-07-23 21:13:18","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":405089,"visible":true,"origin":"","legend":"","description":"","filename":"BLOCKCHAINENABLEDupdated.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4628012/v1_covered_6daaaced-73f6-487c-9847-1b6925836762.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003eBlockchain Enabled Cloud Data Storage Supporting Deduplication With Fair Remittance\u003c/p\u003e","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":"Cloud storage, Blockchain, Data Integrity Auditing, Data Deduplication, Data Security","lastPublishedDoi":"10.21203/rs.3.rs-4628012/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4628012/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eIn cloud computing environment data redundancy and data integrity management are the consequential issues. They result in huge space wastage and compromises data security and data accuracy. Data deduplication and data auditing are the techniques used to efficiently reduce storage space and to verify the integrity of the cloud stored data. Most of the existing data deduplication and auditing algorithms are mainly focusing on static data storage environment which does not efficiently fits to the dynamic nature of cloud storage. Integrating data deduplication with integrity verification is very challenging to handle and such existing systems suffers from faking of audit results and data ownership leakage. Also, existing cloud data auditing schemes does not provide compensation to users, if their data integrity is compromised. Blockchain technology with its key features, provides security, trust and efficiency to handle data storage in cloud. In order to solve the issues in existing data auditing integrated deduplication systems, this paper proposes Blockchain incorporated secure cloud data storage system supporting data auditing and deduplication with fair remittance. The implementation results and security analysis confirm that the proposed system outperforms well in terms of data integrity verification and deduplication with enhanced accuracy and security compared to state of the arts.\u003c/p\u003e","manuscriptTitle":"Blockchain Enabled Cloud Data Storage Supporting Deduplication With Fair Remittance","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-07-23 21:05:10","doi":"10.21203/rs.3.rs-4628012/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"editorAssigned","content":"","date":"2024-07-01T10:09:14+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-07-01T10:07:56+00:00","index":"","fulltext":""},{"type":"submitted","content":"The Journal of Supercomputing","date":"2024-06-24T06:44:16+00:00","index":"","fulltext":""}],"status":"published","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}}],"origin":"","ownerIdentity":"1e4bf78a-600c-456c-964d-540b5c121ab1","owner":[],"postedDate":"July 23rd, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2024-07-23T21:05:10+00:00","versionOfRecord":[],"versionCreatedAt":"2024-07-23 21:05:10","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4628012","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4628012","identity":"rs-4628012","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.