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.
Title
A cloud-based ehealth architecture for privacy preserving data integration
Date
2015-05
Published 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
Publisher
Hamburg, Germany, 26-28 May 2015
Pagination
14 p.
Presented at
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
Paper type
full paper
Faculty
Economie et Services
School
HEG-VS
Institute
Institut Informatique de gestion