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An effective, secure and efficient tagging method for integrity protection of outsourced data in a public cloud storage
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 Taggi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7643952/ https://www.ncbi.nlm.nih.gov/pubmed/33151960 http://dx.doi.org/10.1371/journal.pone.0241236 |
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author | ALmarwani, Reem Zhang, Ning Garside, James |
author_facet | ALmarwani, Reem Zhang, Ning Garside, James |
author_sort | ALmarwani, Reem |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7643952 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-76439522020-11-16 An effective, secure and efficient tagging method for integrity protection of outsourced data in a public cloud storage ALmarwani, Reem Zhang, Ning Garside, James PLoS One Research Article 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. Public Library of Science 2020-11-05 /pmc/articles/PMC7643952/ /pubmed/33151960 http://dx.doi.org/10.1371/journal.pone.0241236 Text en © 2020 ALmarwani et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article ALmarwani, Reem Zhang, Ning Garside, James An effective, secure and efficient tagging method for integrity protection of outsourced data in a public cloud storage |
title | An effective, secure and efficient tagging method for integrity protection of outsourced data in a public cloud storage |
title_full | An effective, secure and efficient tagging method for integrity protection of outsourced data in a public cloud storage |
title_fullStr | An effective, secure and efficient tagging method for integrity protection of outsourced data in a public cloud storage |
title_full_unstemmed | An effective, secure and efficient tagging method for integrity protection of outsourced data in a public cloud storage |
title_short | An effective, secure and efficient tagging method for integrity protection of outsourced data in a public cloud storage |
title_sort | effective, secure and efficient tagging method for integrity protection of outsourced data in a public cloud storage |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7643952/ https://www.ncbi.nlm.nih.gov/pubmed/33151960 http://dx.doi.org/10.1371/journal.pone.0241236 |
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