DObjects+: Enabling Privacy-Preserving Data Federation Services

The emergence of cloud computing implies and facilitates managing large collections of highly distributed, autonomous, and possibly private databases. While there is an increasing need for services that allow integration and sharing of various data repositories, it remains a challenge to ensure the privacy, interoperability, and scalability for such services. In this paper, the authors demonstrate a scalable and extensible framework that is aimed to enable privacy preserving data federations. The framework is built on top of a distributed mediator wrapper architecture where nodes can form collaborative groups for secure anonymization and secure query processing when private data need to be accessed.

Provided by: Emory University Topic: Cloud Date Added: Nov 2011 Format: PDF

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