Active data-centric framework for data protection in cloud environment

Publisher:
ACIS
Publication Type:
Conference Proceeding
Citation:
Proceedings of the 23rd Australasian Conference on Information Systems 2012, 2012, pp. 1 - 11
Issue Date:
2012-01
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Cloud computing is an emerging revolutionary computing model that provides highly scalable services over high-speed 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 usersâ concern that their confidential data or privacy would leak out in the cloudâs 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 usersâ data in cloud. Our data-centric framework emphasizes âactiveâ feature which packages the raw data with some active properties that enforce data usage with active defending and protection capability. To achieve the active scheme, we innovatively developed Triggerable Data File Structure (TDFS). Moreover, we employed zero-knowledge proof scheme to verify the requestâs identification without revealing any vital information. Our experimental outcome demonstrates the efficiency, dependability, and scalability of our framework.
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