A Secure Data Sharing and Query Processing Framework via Federation of Cloud Computing
Due to cost-efficiency and less hands-on management, data owners are outsourcing their data to the cloud which can provide access to the data as a service. However, by outsourcing their data to the cloud, the data owners lose control over their data as the cloud provider becomes a third party service provider. At first, encrypting the data by the owner and then exporting it to the cloud seems to be a good approach. However, there is a potential efficiency problem with the outsourced encrypted data when the data owner revokes some of the users' access privileges. An existing solution to this problem is based on symmetric key encryption scheme but it is not secure when a revoked user rejoins the system with different access privileges to the same data record. In this paper, we propose an efficient and Secure Data Sharing (SDS) framework using homomorphic encryption and proxy re-encryption schemes that prevents the leakage of unauthorized data when a revoked user rejoins the system. We also modify our underlying SDS framework and present a new solution based on the data distribution technique to prevent the information leakage in the case of collusion between a revoked user and the cloud service provider. A comparison of the proposed solution with existing methods is provided in detail. Furthermore, we demonstrate how the existing work can be utilized in our proposed framework to support secure query processing. We provide a detailed security as well as experimental analysis of the proposed framework on Amazon EC2 and highlight its practical value.
B. K. Samanthula et al., "A Secure Data Sharing and Query Processing Framework via Federation of Cloud Computing," Information Systems, vol. 48, pp. 196 - 212, Elsevier Ltd, Mar 2015.
The definitive version is available at https://doi.org/10.1016/j.is.2013.08.004
Keywords and Phrases
Cloud computing; Homomorphic encryption; Privacy; Proxy re-encryption
International Standard Serial Number (ISSN)
Article - Journal
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