Hierarchical remote data possession checking method based on massive cloud files
Cloud storage service enables users to migrate their data and applications to the cloud, which saves the local data maintenance and brings great convenience to the users. But in cloud storage, the storage servers may not be fully trustworthy. How to verify the integrity of cloud data with lower over...
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Online Access: | https://doi.org/10.1177/1748301816682243 |
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doaj-21be5707d861427e8747b8cdf09a4a222020-11-25T03:45:05ZengSAGE PublishingJournal of Algorithms & Computational Technology1748-30181748-30262017-06-011110.1177/174830181668224310.1177_1748301816682243Hierarchical remote data possession checking method based on massive cloud filesMa Haifeng0Gao Zhenguo1Yao Nianmin2Institute for Computer and Information Engineering, Heilongjiang University of Science and Technology, Harbin, ChinaCollege of Automation, Harbin Engineering University, Harbin, ChinaCollege of Computer Sciences and Technology, Dalian University of Technology, Dalian, ChinaCloud storage service enables users to migrate their data and applications to the cloud, which saves the local data maintenance and brings great convenience to the users. But in cloud storage, the storage servers may not be fully trustworthy. How to verify the integrity of cloud data with lower overhead for users has become an increasingly concerned problem. Many remote data integrity protection methods have been proposed, but these methods authenticated cloud files one by one when verifying multiple files. Therefore, the computation and communication overhead are still high. Aiming at this problem, a hierarchical remote data possession checking (hierarchical-remote data possession checking (H-RDPC)) method is proposed, which can provide efficient and secure remote data integrity protection and can support dynamic data operations. This paper gives the algorithm descriptions, security, and false negative rate analysis of H-RDPC. The security analysis and experimental performance evaluation results show that the proposed H-RDPC is efficient and reliable in verifying massive cloud files, and it has 32–81% improvement in performance compared with RDPC.https://doi.org/10.1177/1748301816682243 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ma Haifeng Gao Zhenguo Yao Nianmin |
spellingShingle |
Ma Haifeng Gao Zhenguo Yao Nianmin Hierarchical remote data possession checking method based on massive cloud files Journal of Algorithms & Computational Technology |
author_facet |
Ma Haifeng Gao Zhenguo Yao Nianmin |
author_sort |
Ma Haifeng |
title |
Hierarchical remote data possession checking method based on massive cloud files |
title_short |
Hierarchical remote data possession checking method based on massive cloud files |
title_full |
Hierarchical remote data possession checking method based on massive cloud files |
title_fullStr |
Hierarchical remote data possession checking method based on massive cloud files |
title_full_unstemmed |
Hierarchical remote data possession checking method based on massive cloud files |
title_sort |
hierarchical remote data possession checking method based on massive cloud files |
publisher |
SAGE Publishing |
series |
Journal of Algorithms & Computational Technology |
issn |
1748-3018 1748-3026 |
publishDate |
2017-06-01 |
description |
Cloud storage service enables users to migrate their data and applications to the cloud, which saves the local data maintenance and brings great convenience to the users. But in cloud storage, the storage servers may not be fully trustworthy. How to verify the integrity of cloud data with lower overhead for users has become an increasingly concerned problem. Many remote data integrity protection methods have been proposed, but these methods authenticated cloud files one by one when verifying multiple files. Therefore, the computation and communication overhead are still high. Aiming at this problem, a hierarchical remote data possession checking (hierarchical-remote data possession checking (H-RDPC)) method is proposed, which can provide efficient and secure remote data integrity protection and can support dynamic data operations. This paper gives the algorithm descriptions, security, and false negative rate analysis of H-RDPC. The security analysis and experimental performance evaluation results show that the proposed H-RDPC is efficient and reliable in verifying massive cloud files, and it has 32–81% improvement in performance compared with RDPC. |
url |
https://doi.org/10.1177/1748301816682243 |
work_keys_str_mv |
AT mahaifeng hierarchicalremotedatapossessioncheckingmethodbasedonmassivecloudfiles AT gaozhenguo hierarchicalremotedatapossessioncheckingmethodbasedonmassivecloudfiles AT yaonianmin hierarchicalremotedatapossessioncheckingmethodbasedonmassivecloudfiles |
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1724511612314845184 |