research-article

ESDedup: An efficient and secure deduplication scheme based on data similarity and blockchain for cloud-assisted medical storage systems

Authors:

Chengzhang Zhu,

Fanbo NieAuthors Info & Claims

The Journal of Supercomputing, Volume 79, Issue 3

Pages 2932 - 2960

https://doi.org/10.1007/s11227-022-04746-3

Published: 29 August 2022 Publication History

Abstract

With the explosive growth of medical data, the tendency to store medical data on cloud is extremely widespread. However, large-scale medical data have put great pressure on cloud storage systems since redundancy of data wastes much storage space and increases economic expense. Besides, security is also highly important for medical data stored in the cloud. In order to reduce redundancy and ensure security of medical data simultaneously, this study proposes an efficient and secure deduplication scheme ESDedup. Compared with existing works, the redundancy of medical data is summarized and denoising of deduplication is firstly presented to decrease the storage overhead. Afterward, the rewriting algorithm based on similarity instead of the time attribute eliminates more fragments. Meanwhile, the auditing strategy of blockchain is designed to promote the auditing efficiency and security. Experiments demonstrate that ESDedup not only promotes the scalability and system performance, but also improves the deduplication ratio by 55.9% compared with the state-of-the-art method.

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Cited By

Yang WTan WSun YYan BCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)A Medical Data-Effective Learning Benchmark for Highly Efficient Pre-training of Foundation ModelsProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681313(3499-3508)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3681313
Prakash J JK RK SPrabha G L(2023)Blockchain‐based data deduplication using novel content‐defined chunking algorithm in cloud environmentInternational Journal of Network Management10.1002/nem.224933:6Online publication date: 7-Nov-2023
https://dl.acm.org/doi/10.1002/nem.2249

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ESDedup: An efficient and secure deduplication scheme based on data similarity and blockchain for cloud-assisted medical storage systems

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Published In

cover image The Journal of Supercomputing

The Journal of Supercomputing Volume 79, Issue 3

Feb 2023

1178 pages

ISSN:0920-8542

Issue’s Table of Contents

© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

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Kluwer Academic Publishers

United States

Publication History

Published: 29 August 2022

Accepted: 31 July 2022

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National Key R &D Program of China
Fundamental Research Funds for Central Universities of the Central South University
Scientific and Technological Innovation Leading Plan of High-tech Industry of Hunan Province

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Cited By

Yang WTan WSun YYan BCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)A Medical Data-Effective Learning Benchmark for Highly Efficient Pre-training of Foundation ModelsProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681313(3499-3508)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3681313
Prakash J JK RK SPrabha G L(2023)Blockchain‐based data deduplication using novel content‐defined chunking algorithm in cloud environmentInternational Journal of Network Management10.1002/nem.224933:6Online publication date: 7-Nov-2023
https://dl.acm.org/doi/10.1002/nem.2249

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