Towards Dynamic Remote Data Auditing in Computational Clouds
Cloud computing is a significant shift of computational paradigm where computing as a utility and storing data remotely have a great potential. Enterprise and businesses are now more interested in outsourcing their data to the cloud to lessen the burden of local data storage and maintenance. However...
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Wiley
2014-01-01
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Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2014/269357 |
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author | Mehdi Sookhak Adnan Akhunzada Abdullah Gani Muhammad Khurram Khan Nor Badrul Anuar |
author_facet | Mehdi Sookhak Adnan Akhunzada Abdullah Gani Muhammad Khurram Khan Nor Badrul Anuar |
author_sort | Mehdi Sookhak |
collection | DOAJ |
description | Cloud computing is a significant shift of computational paradigm where computing as a utility and storing data remotely have a great potential. Enterprise and businesses are now more interested in outsourcing their data to the cloud to lessen the burden of local data storage and maintenance. However, the outsourced data and the computation outcomes are not continuously trustworthy due to the lack of control and physical possession of the data owners. To better streamline this issue, researchers have now focused on designing remote data auditing (RDA) techniques. The majority of these techniques, however, are only applicable for static archive data and are not subject to audit the dynamically updated outsourced data. We propose an effectual RDA technique based on algebraic signature properties for cloud storage system and also present a new data structure capable of efficiently supporting dynamic data operations like append, insert, modify, and delete. Moreover, this data structure empowers our method to be applicable for large-scale data with minimum computation cost. The comparative analysis with the state-of-the-art RDA schemes shows that the proposed scheme is secure and highly efficient in terms of the computation and communication overhead on the auditor and server. |
format | Article |
id | doaj-art-0d6b2f99e64e4080a863d0ce918b2027 |
institution | Kabale University |
issn | 2356-6140 1537-744X |
language | English |
publishDate | 2014-01-01 |
publisher | Wiley |
record_format | Article |
series | The Scientific World Journal |
spelling | doaj-art-0d6b2f99e64e4080a863d0ce918b20272025-02-03T01:26:30ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/269357269357Towards Dynamic Remote Data Auditing in Computational CloudsMehdi Sookhak0Adnan Akhunzada1Abdullah Gani2Muhammad Khurram Khan3Nor Badrul Anuar4Center for Mobile Cloud Computing Research (C4MCCR), University of Malaya, 50603 Kuala Lumpur, MalaysiaCenter for Mobile Cloud Computing Research (C4MCCR), University of Malaya, 50603 Kuala Lumpur, MalaysiaCenter for Mobile Cloud Computing Research (C4MCCR), University of Malaya, 50603 Kuala Lumpur, MalaysiaCenter of Excellence in Information Assurance (CoEIA), King Saud University, Riyadh 92144, Saudi ArabiaDepartment of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, MalaysiaCloud computing is a significant shift of computational paradigm where computing as a utility and storing data remotely have a great potential. Enterprise and businesses are now more interested in outsourcing their data to the cloud to lessen the burden of local data storage and maintenance. However, the outsourced data and the computation outcomes are not continuously trustworthy due to the lack of control and physical possession of the data owners. To better streamline this issue, researchers have now focused on designing remote data auditing (RDA) techniques. The majority of these techniques, however, are only applicable for static archive data and are not subject to audit the dynamically updated outsourced data. We propose an effectual RDA technique based on algebraic signature properties for cloud storage system and also present a new data structure capable of efficiently supporting dynamic data operations like append, insert, modify, and delete. Moreover, this data structure empowers our method to be applicable for large-scale data with minimum computation cost. The comparative analysis with the state-of-the-art RDA schemes shows that the proposed scheme is secure and highly efficient in terms of the computation and communication overhead on the auditor and server.http://dx.doi.org/10.1155/2014/269357 |
spellingShingle | Mehdi Sookhak Adnan Akhunzada Abdullah Gani Muhammad Khurram Khan Nor Badrul Anuar Towards Dynamic Remote Data Auditing in Computational Clouds The Scientific World Journal |
title | Towards Dynamic Remote Data Auditing in Computational Clouds |
title_full | Towards Dynamic Remote Data Auditing in Computational Clouds |
title_fullStr | Towards Dynamic Remote Data Auditing in Computational Clouds |
title_full_unstemmed | Towards Dynamic Remote Data Auditing in Computational Clouds |
title_short | Towards Dynamic Remote Data Auditing in Computational Clouds |
title_sort | towards dynamic remote data auditing in computational clouds |
url | http://dx.doi.org/10.1155/2014/269357 |
work_keys_str_mv | AT mehdisookhak towardsdynamicremotedataauditingincomputationalclouds AT adnanakhunzada towardsdynamicremotedataauditingincomputationalclouds AT abdullahgani towardsdynamicremotedataauditingincomputationalclouds AT muhammadkhurramkhan towardsdynamicremotedataauditingincomputationalclouds AT norbadrulanuar towardsdynamicremotedataauditingincomputationalclouds |