Title: Review of remote data integrity auditing schemes in cloud computing: taxonomy, analysis, and open issues

Authors: Jaya Rao Gudeme; Syam Kumar Pasupuleti; Ramesh Kandukuri

Addresses: Department of Computer Science and Engineering, National Institute of Technology, Warangal (NITW), India; Institute for Development and Research in Banking Technology (IDRBT), Hyderabad, India ' Institute for Development and Research in Banking Technology (IDRBT), Hyderabad, India ' Department of Computer Science and Engineering, National Institute of Technology, Warangal (NITW), India

Abstract: Cloud storage provides reliable and resilient storage infrastructure for users to store data remotely based on pay-as-you-go pricing model. Presently, many data owners in academic and business environment are choosing cloud for storing their data in the cloud to save costs. Cloud storage provides many benefits to data owners such as low capital costs, scalability, and access of data from anywhere, anytime, irrespective of location and device. Despite these appealing benefits, storage service brings security challenges such as confidentiality, integrity and availability as outsourced data is not always trustworthy due to loss of physical control and possession over data. One of the primary concerns is the integrity of data stored in the cloud. To address the remote data integrity, many researchers have focused on remote data integrity auditing (RDIA) techniques. In this paper, we give an extensive review of remote data integrity auditing techniques in the cloud computing. In our review, we present a thematic taxonomy of remote data integrity auditing techniques, investigate similarities and differences, and finally discuss critical issues to be addressed for efficient and secure designing of remote auditing protocols for cloud data storage in future research.

Keywords: cloud computing; cloud storage; integrity; remote data auditing; provable data possession; PDP; proof of retrievability; PoR.

DOI: 10.1504/IJCC.2019.10019207

International Journal of Cloud Computing, 2019 Vol.8 No.1, pp.20 - 49

Received: 21 Sep 2017
Accepted: 19 May 2018

Published online: 15 Feb 2019 *

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