Blockchain-based Cloud Data Deduplication Scheme with Fair Incentives
Mallikarjun Reddy Dorsala, V. N. Sastry, Sudhakar Chapram

TL;DR
This paper proposes a blockchain-based deduplication scheme with smart contracts that ensures fairness and correctness in incentivizing cloud users, improving storage efficiency and trustworthiness without relying on trusted third parties.
Contribution
It introduces a novel blockchain-based deduplication scheme with smart contracts that guarantees fairness, correctness, and incentive compatibility in cloud storage environments.
Findings
The scheme ensures fair and correct incentive distribution.
Smart contract implementation on Ethereum demonstrates practical feasibility.
The proposed method is individually rational and incentive compatible.
Abstract
With the rapid development of cloud computing, vast amounts of duplicated data are being uploaded to the cloud, wasting storage resources. Deduplication (dedup) is an efficient solution to save storage costs of cloud storage providers (CSPs) by storing only one copy of the uploaded data. However, cloud users do not benefit directly from dedup and may be reluctant to dedup their data. To motivate the cloud users towards dedup, CSPs offer incentives on storage fees. The problems with the existing dedup schemes are that they do not consider: (1) correctness - the incentive offered to a cloud user should be computed correctly without any prejudice. (2) fairness - the cloud user receives the file link and access rights of the uploaded data if and only if the CSP receives the storage fee. Meeting these requirements without a trusted party is non-trivial, and most of the existing dedup schemes…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCloud Data Security Solutions · Privacy-Preserving Technologies in Data · Cryptography and Data Security
