Heterogeneous Data Storage Management with Deduplication in Cloud Computing

Zheng Yan, Lifang Zhang, Wenxiu Ding, Qinghua Zheng

Research output: Contribution to journalArticleScientificpeer-review

13 Citations (Scopus)
315 Downloads (Pure)

Abstract

Cloud storage as one of the most important services of cloud computing helps cloud users break the bottleneck of restricted resources and expand their storage without upgrading their devices. In order to guarantee the security and privacy of cloud users, data are always outsourced in an encrypted form. However, encrypted data could incur much waste of cloud storage and complicate data sharing among authorized users. We are still facing challenges on encrypted data storage and management with deduplication. Traditional deduplication schemes always focus on specific application scenarios, in which the deduplication is completely controlled by either data owners or cloud servers. They cannot flexibly satisfy various demands of data owners according to the level of data sensitivity. In this paper, we propose a heterogeneous data storage management scheme, which flexibly offers both deduplication management and access control at the same time across multiple Cloud Service Providers (CSPs). We evaluate its performance with security analysis, comparison and implementation. The results show its security, effectiveness and efficiency towards potential practical usage.
Original languageEnglish
Pages (from-to)393-407
Number of pages19
JournalIEEE Transactions on Big Data
Volume5
Issue number3
DOIs
Publication statusPublished - 2019
MoE publication typeA1 Journal article-refereed

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