Multiple-replica integrity auditing schemes for cloud data storage
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Related Research Unit(s)
Detail(s)
Original language | English |
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Journal / Publication | Concurrency Computation |
Volume | 33 |
Issue number | 7 |
Online published | 4 Aug 2019 |
Publication status | Published - 10 Apr 2021 |
Link(s)
Abstract
Cloud computing has been an essential technology for providing on-demand computing resources as a service on the Internet. Not only enterprises but also individuals can outsource their data to the cloud without worrying about purchase and maintenance cost. The cloud storage system, however, is not fully trustable. Cloud data integrity auditing is crucial for defending against the security threats of data in the untrusted multicloud environment. Storing multiple replicas is a commonly used strategy for the availability and reliability of critical data. In this paper, we summarize and analyze the state-of-the-art multiple-replica integrity auditing schemes in cloud data storage. We present the system model and security threats of outsourcing data to the cloud with classification of ongoing developments. We also summarize the existing data integrity auditing schemes for multicloud data storage. The important open issues and potential research directions are addressed.
Research Area(s)
- data auditing, data integrity, multicloud data storage, multireplicas
Citation Format(s)
Multiple-replica integrity auditing schemes for cloud data storage. / Lin, Yangfei; Li, Jie; Jia, Xiaohua et al.
In: Concurrency Computation, Vol. 33, No. 7, 10.04.2021.
In: Concurrency Computation, Vol. 33, No. 7, 10.04.2021.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review