Flexible Yet Secure De-Duplication Service for Enterprise Data on Cloud Storage

Chuan, W. B., Ren, S. Q., Keoh, S. L. and Aung, K. M. M. (2015) Flexible Yet Secure De-Duplication Service for Enterprise Data on Cloud Storage. In: International Conference on Cloud Computing Research and Innovation (ICCCRI), Singapore, Asia, 26-27 Oct 2015,

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Abstract

The cloud storage services bring forth infinite storage capacity and flexible access capability to store and share large-scale content. The convenience brought forth has attracted both individual and enterprise users to outsource data service to a cloud provider. As the survey shows 56% of the usages of cloud storage applications are for data back up and up to 68% of data backup are user assets. Enterprise tenants would need to protect their data privacy before uploading them to the cloud and expect a reasonable performance while they try to reduce the operation cost in terms of cloud storage, capacity and I/Os matter as well as systems’ performance, bandwidth and data protection. Thus, enterprise tenants demand secure and economic data storage yet flexible access on their cloud data. In this paper, we propose a secure de-duplication solution for enterprise tenants to leverage the benefits of cloud storage while reducing operation cost and protecting privacy. First, the solution uses a proxy to do flexible group access control which supports secure de-duplication within a group; Second, the solution supports scalable clustering of proxies to support large-scale data access; Third, the solution can be integrated with cloud storage seamlessly. We implemented and tested our solution by integrating it with Dropbox. Secure de-duplication in a group is performed at low data transfer latency and small storage overhead as compared to de-duplication on plaintext.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Keoh, Dr Sye Loong
Authors: Chuan, W. B., Ren, S. Q., Keoh, S. L., and Aung, K. M. M.
College/School:College of Science and Engineering > School of Computing Science
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