Multiple-replica integrity auditing schemes for cloud data storage

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

10 Scopus Citations
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Detail(s)

Original languageEnglish
Journal / PublicationConcurrency Computation
Volume33
Issue number7
Online published4 Aug 2019
Publication statusPublished - 10 Apr 2021

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.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review