An effective, secure and efficient tagging method for integrity protection of outsourced data in a public cloud storage

Reem ALmarwani, Ning Zhang and James Garside

PLOS ONE, 2020, vol. 15, issue 11, 1-47

Abstract: Data Integrity Auditing (DIA) is a security service for checking the integrity of data stored in a PCS (Public Cloud Storage), a third-party based storage service. A DIA service is provided by using integrity tags (hereafter referred to tags). This paper proposes a novel tagging method, called Tagging of Outsourced Data (TOD), for generating and verifying tags of files. TOD has a number of unique properties: (i) it supports both public and private verifiability, and achieves this property with a low level of overhead at the user end, making it particularly attractive to mobile users with resource-constrained devices, (ii) it protects data confidentiality, supports dynamic tags and is resilient against tag forgery and tag tampering (i.e. by authorised insiders) at the same time in more secure and efficient, making the method more suited to the PCS environment, (iii) it supports tags deduplication, making it more efficient, particularly for the user who has many files with data redundancy. Comprehensive security analysis and performance evaluation have been conducted to demonstrate the efficacy and efficiency of the approach taken in the design.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0241236

DOI: 10.1371/journal.pone.0241236

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