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Towards a Privacy Compliant Research Interface for Multicenter Medical Data

Appenzeller, Arno ORCID iD icon

Abstract (englisch):

Big Data analysis gains more and more interest in the processing of e-Healthdata. The potentially big benefit of those analyses comes with a set of newunknown impacts to an individual’s privacy. Still it is important to find a balancebetween privacy impact and utility of the medical data analysis. To achieve this,this technical report takes a look on different privacy preserving techniques,that could be used for a privacy preserving research interface for medical data.The three techniques Differential privacy,k-Anonymity and Secure multi-partyComputation are evaluated on their feasibility for a medical use-case. Withthose preliminaries some formal definitions are made for a privacy preservingresearch interface which implements an hybrid approach of the three techniquesand a consent based interface.

Verlagsausgabe §
DOI: 10.5445/IR/1000126554
Veröffentlicht am 27.11.2020
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Anthropomatik und Robotik (IAR)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2019
Sprache Englisch
Identifikator ISBN: 978-3-7315-1028-4
ISSN: 1863-6489
KITopen-ID: 1000126554
Erschienen in Proceedings of the 2019 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory. Ed.: J. Beyerer; T. Zander
Verlag KIT Scientific Publishing
Seiten 1-13
Serie Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe ; 45
Bemerkung zur Veröffentlichung Technical Report IES 2019-06
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