Active data-centric framework for data protection in cloud environment

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Active data-centric framework for data protection in cloud environment

Chen, Lingfeng and Hoang, Doan B. 2012, Active data-centric framework for data protection in cloud environment, in ACIS 2012 : Location, location, location : Proceedings of the 23rd Australasian Conference on Information Systems 2012, ACIS, [Geelong, Vic.], pp. 1-11.

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Title	Active data-centric framework for data protection in cloud environment
Author(s)	Chen, Lingfeng Hoang, Doan B.
Conference name	Australasian Conference on Information Systems (23rd : 2012 : Geelong, Victoria)
Conference location	Geelong, Victoria
Conference dates	3-5 Dec. 2012
Title of proceedings	ACIS 2012 : Location, location, location : Proceedings of the 23rd Australasian Conference on Information Systems 2012
Editor(s)	Lamp, John orcid.org/0000-0003-1891-0400
Publication date	2012
Conference series	Australasian Conference on Information Systems
Start page	1
End page	11
Total pages	11
Publisher	ACIS
Place of publication	[Geelong, Vic.]
Keyword(s)	cloud Computing active data-centric zero-knowledge proof transformation tamper-proof
Summary	Cloud computing is an emerging evolutionary computing model that provides highly scalable services over highspeed Internet on a pay-as-usage model. However, cloud-based solutions still have not been widely deployed in some sensitive areas, such as banking and healthcare. The lack of widespread development is related to users’ concern that their confidential data or privacy would leak out in the cloud’s outsourced environment. To address this problem, we propose a novel active data-centric framework to ultimately improve the transparency and accountability of actual usage of the users’ data in cloud. Our data-centric framework emphasizes “active” feature which packages the raw data with active properties that enforce data usage with active defending and protection capability. To achieve the active scheme, we devise the Triggerable Data File Structure (TDFS). Moreover, we employ the zero-knowledge proof scheme to verify the request’s identification without revealing any vital information. Our experimental outcomes demonstrate the efficiency, dependability, and scalability of our framework.
Notes	Reproduced with the kind permission of the copyright owner.
Language	eng
Field of Research	089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective	970108 Expanding Knowledge in the Information and Computing Sciences
Related work	DU:30049020
Copyright notice	©2012, The Authors/ACIS
Free to Read?	Yes
Persistent URL	http://hdl.handle.net/10536/DRO/DU:30049130

Document type:	Conference Paper
Collections:	ACIS : Proceedings of the 23rd Australasian Conference on Information Systems 2012 Open Access Collection


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