A Survey on Integrity Auditing for Data Storage in the Cloud: From Single Copy to Multiple Replicas

Angtai Li*, Yu Chen, Zheng Yan, Xiaokang Zhou, Shohei Shimizu

*Corresponding author for this work

Research output: Contribution to journalReview Articlepeer-review

8 Citations (Scopus)
347 Downloads (Pure)


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.

Original languageEnglish
Pages (from-to)1428-1442
Number of pages15
JournalIEEE Transactions on Big Data
Issue number5
Early online date2020
Publication statusPublished - 1 Oct 2022
MoE publication typeA2 Review article, Literature review, Systematic review


  • Integrity auditing
  • data storage
  • cloud computing
  • singly copy
  • multiple replicas


Dive into the research topics of 'A Survey on Integrity Auditing for Data Storage in the Cloud: From Single Copy to Multiple Replicas'. Together they form a unique fingerprint.

Cite this