A Survey on Integrity Auditing for Data Storage in 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 ArticleScientificpeer-review

14 Downloads (Pure)

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 paper, 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
Number of pages17
JournalIEEE Transactions on Big Data
DOIs
Publication statusE-pub ahead of print - 2020
MoE publication typeA2 Review article in a scientific journal

Keywords

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

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

Cite this