Public auditing for big data storage in cloud computing - A survey

Liu, C; Ranjan, R; Zhang, X; Yang, C; Georgakopoulos, D; Chen, J

Public auditing for big data storage in cloud computing - A survey

Liu, C Ranjan, R Zhang, X Yang, C Georgakopoulos, D Chen, J

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 16th IEEE International Conference on Computational Science and Engineering, CSE 2013, 2013, pp. 1128 - 1135
Issue Date:: 2013-12-01

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Field	Value	Language
dc.contributor.author	Liu, C	en_US
dc.contributor.author	Ranjan, R	en_US
dc.contributor.author	Zhang, X	en_US
dc.contributor.author	Yang, C	en_US
dc.contributor.author	Georgakopoulos, D	en_US
dc.contributor.author	Chen, J	en_US
dc.date.issued	2013-12-01	en_US
dc.identifier.citation	Proceedings - 16th IEEE International Conference on Computational Science and Engineering, CSE 2013, 2013, pp. 1128 - 1135	en_US
dc.identifier.uri	http://hdl.handle.net/10453/28373
dc.description.abstract	Data integrity is an important factor to ensure in almost any data and computation related context. It serves not only as one of the qualities of service, but also an important part of data security and privacy. With the proliferation of cloud computing and the increasing needs in big data analytics, verification of data integrity becomes increasingly important, especially on outsourced data. Therefore, research topics related to data integrity verification have attracted tremendous research interest. Among all the metrics, efficiency and security are two of the most concerned measurements. In this paper, we provide an analysis on authenticator-based efficient data integrity verification. we will analyze and provide a survey on the main aspects of this research problem, summarize the research motivations, methodologies as well as main achievements of several of the representative approaches, then try to bring forth a blueprint for possible future developments. © 2013 IEEE.	en_US
dc.relation.ispartof	Proceedings - 16th IEEE International Conference on Computational Science and Engineering, CSE 2013	en_US
dc.relation.isbasedon	10.1109/CSE.2013.164	en_US
dc.title	Public auditing for big data storage in cloud computing - A survey	en_US
dc.type	Conference Proceeding
utslib.for	0899 Other Information and Computing Sciences	en_US
dc.location.activity	Sydney, Australia	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Data integrity is an important factor to ensure in almost any data and computation related context. It serves not only as one of the qualities of service, but also an important part of data security and privacy. With the proliferation of cloud computing and the increasing needs in big data analytics, verification of data integrity becomes increasingly important, especially on outsourced data. Therefore, research topics related to data integrity verification have attracted tremendous research interest. Among all the metrics, efficiency and security are two of the most concerned measurements. In this paper, we provide an analysis on authenticator-based efficient data integrity verification. we will analyze and provide a survey on the main aspects of this research problem, summarize the research motivations, methodologies as well as main achievements of several of the representative approaches, then try to bring forth a blueprint for possible future developments. © 2013 IEEE.

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http://hdl.handle.net/10453/28373