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.
Titel
A cloud-based ehealth architecture for privacy preserving data integration
Datum
2015-05
Veröffentlich in
Proceedings of the 30th Information Security and Privacy (IFIP) International Securities and Exchange Commission (SEC) Conference, Technical Committee 11 (SEC TC-11) on ICT Systems Security and Privacy Protection (IFIP TC-11 SEC) 2015
Verlag
Hamburg, Germany, 26-28 May 2015
Umfang
14 p.
Vorgestellt auf
30th Information Security and Privacy (IFIP) International Securities and Exchange Commission (SEC) Conference, Technical Committee 11 (SEC TC-11) on ICT Systems Security and Privacy Protection (IFIP TC-11 SEC), Hamburg, Germany, 26/05/2015 / 28/05/2015
ISSN
978-3-319-18466-1
Papiertyp
full paper
Domaine
Economie et Services
Ecole
HEG-VS
Institut
Institut Informatique de gestion