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systems for providing data privacy, there is no general methodology for determining the extent to which these techniques, tools and systems reduce practical privacy risks. We need a comprehensive framework where the privacy and utility of multiple privacy-preserving techniques could be measured. This vision paper provides directions for designing such a framework.
The data processing capabilities of MapReduce systems pioneered with the on-demand scalability of cloud computing have enabled the Big Data revolution. However, the data controllers/owners worried about the privacy and accountability impact of storing their data in the cloud infrastructures as the existing cloud computing solutions provide very limited control on the underlying systems. The intuitive...
In this paper we describe the design and implementation of a semantic web based framework for secure information integration. In particular, we have evaluated Amazon's Simple Storage Service's ability to provide storage support for large-scale semantic data used by a semantic web-based framework called Blackbook. We describe cryptographic techniques for enforcing the protection of published data on...
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