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A Cloud-Based eHealth Architecture for Privacy Preserving Data Integration

Abstract : In this paper, we address the problem of building an anonymized medical database from multiple sources. Our proposed solution defines how to achieve data integration in a heterogeneous network of many clinical institutions, while preserving data utility and patients’ privacy. The contribution of the paper is twofold: Firstly, we propose a secure and scalable cloud eHealth architecture to store and exchange patients’ data for the treatment. Secondly, we present an algorithm for efficient aggregation of the health data for the research purposes from multiple sources independently.
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Submitted on : Wednesday, July 13, 2016 - 11:16:23 AM
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Alevtina Dubovitskaya, Visara Urovi, Matteo Vasirani, Karl Aberer, Michael Schumacher. A Cloud-Based eHealth Architecture for Privacy Preserving Data Integration. 30th IFIP International Information Security Conference (SEC), May 2015, Hamburg, Germany. pp.585-598, ⟨10.1007/978-3-319-18467-8_39⟩. ⟨hal-01345150⟩

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