Toward secure and dependable storage services in cloud computing

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

445 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Article number5765928
Pages (from-to)220-232
Journal / PublicationIEEE Transactions on Services Computing
Volume5
Issue number2
Publication statusPublished - 2012
Externally publishedYes

Abstract

Cloud storage enables users to remotely store their data and enjoy the on-demand high quality cloud applications without the burden of local hardware and software management. Though the benefits are clear, such a service is also relinquishing users' physical possession of their outsourced data, which inevitably poses new security risks toward the correctness of the data in cloud. In order to address this new problem and further achieve a secure and dependable cloud storage service, we propose in this paper a flexible distributed storage integrity auditing mechanism, utilizing the homomorphic token and distributed erasure-coded data. The proposed design allows users to audit the cloud storage with very lightweight communication and computation cost. The auditing result not only ensures strong cloud storage correctness guarantee, but also simultaneously achieves fast data error localization, i.e., the identification of misbehaving server. Considering the cloud data are dynamic in nature, the proposed design further supports secure and efficient dynamic operations on outsourced data, including block modification, deletion, and append. Analysis shows the proposed scheme is highly efficient and resilient against Byzantine failure, malicious data modification attack, and even server colluding attacks. © 2012 IEEE.

Research Area(s)

  • cloud computing, data dynamics, Data integrity, dependable distributed storage, error localization

Citation Format(s)

Toward secure and dependable storage services in cloud computing. / Wang, Cong; Wang, Qian; Ren, Kui et al.
In: IEEE Transactions on Services Computing, Vol. 5, No. 2, 5765928, 2012, p. 220-232.

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