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.
https://hal.inria.fr/hal-01345150 Contributor : Hal IfipConnect in order to contact the contributor Submitted on : Wednesday, July 13, 2016 - 11:16:23 AM Last modification on : Monday, October 2, 2017 - 4:06:04 PM
Alevtina Dubovitskaya, Visara Urovi, Matteo Vasirani, Karl Aberer, Michael I. 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⟩