JOURNAL ARTICLE

Multiple‐replica integrity auditing schemes for cloud data storage

Yangfei LinJie LiXiaohua JiaKui Ren

Year: 2019 Journal:   Concurrency and Computation Practice and Experience Vol: 33 (7)Pages: 1-1   Publisher: Wiley

Abstract

Summary 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.

Keywords:
Cloud computing Outsourcing Data integrity Computer science Cloud storage Audit Computer security Reliability (semiconductor) Replica Data security Cloud computing security Computer data storage Database Distributed computing Business Operating system Encryption Accounting

Metrics

18
Cited By
3.64
FWCI (Field Weighted Citation Impact)
60
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cloud Data Security Solutions
Physical Sciences →  Computer Science →  Information Systems
Cryptography and Data Security
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Data Storage Technologies
Physical Sciences →  Computer Science →  Computer Networks and Communications

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