A Survey on Integrity Auditing for Data Storage in the Cloud: From Single Copy to Multiple Replicas
Loading...
Access rights
openAccess
acceptedVersion
URL
Journal Title
Journal ISSN
Volume Title
A2 Katsausartikkeli tieteellisessä aikakauslehdessä
This publication is imported from Aalto University research portal.
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
Date
2022-10-01
Major/Subject
Mcode
Degree programme
Language
en
Pages
15
Series
IEEE Transactions on Big Data, Volume 8, issue 5, pp. 1428-1442
Abstract
The rapid advancement of cloud computing has promoted the development of cloud storage services. One of the biggest concerns of cloud users is whether the completeness and recoverability of data can be guaranteed when cloud servers encounter problems. Only when the integrity of data is fully guaranteed can users consume cloud storage with confidence, especially in a complicated cloud environment with multiple clouds. However, the literature still lacks a thorough survey on cloud data integrity auditing for both single copy and multiple replicas. In this article, we survey and compare existing auditing schemes for single copy and multiple replicas based on a set of criteria. Based on our review and analysis, we discuss open issues, potential applications and future directions in the field of the integrity auditing in the cloud, including the implications of such trendy topics as merging blockchain and edge computing into data integrity auditing.Description
Keywords
Integrity auditing, data storage, cloud computing, singly copy, multiple replicas
Other note
Citation
Li, A, Chen, Y, Yan, Z, Zhou, X & Shimizu, S 2022, ' A Survey on Integrity Auditing for Data Storage in the Cloud: From Single Copy to Multiple Replicas ', IEEE Transactions on Big Data, vol. 8, no. 5, pp. 1428-1442 . https://doi.org/10.1109/TBDATA.2020.3029209