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.
Hannes Federrath; Dieter Gollmann. 30th IFIP International Information Security Conference (SEC), May 2015, Hamburg, Germany. IFIP Advances in Information and Communication Technology, AICT-455, pp.585-598, 2015, ICT Systems Security and Privacy Protection. 〈10.1007/978-3-319-18467-8_39〉
https://hal.inria.fr/hal-01345150
Contributeur : Hal Ifip
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Soumis le : mercredi 13 juillet 2016 - 11:16:23
Dernière modification le : lundi 2 octobre 2017 - 16:06:04
Alevtina Dubovitskaya, Visara Urovi, Matteo Vasirani, Karl Aberer, Michael Schumacher. A Cloud-Based eHealth Architecture for Privacy Preserving Data Integration. Hannes Federrath; Dieter Gollmann. 30th IFIP International Information Security Conference (SEC), May 2015, Hamburg, Germany. IFIP Advances in Information and Communication Technology, AICT-455, pp.585-598, 2015, ICT Systems Security and Privacy Protection. 〈10.1007/978-3-319-18467-8_39〉. 〈hal-01345150〉
