Location-based anonymization: comparison and evaluation of the Voronoi-based aggregation system
| Autor: | Jean-Pierre Corriveau, William Lee Croft, Wei Shi, Jörg-Rüdiger Sack |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Data anonymization
business.industry Process (engineering) media_common.quotation_subject Geography Planning and Development 0211 other engineering and technologies 02 engineering and technology Library and Information Sciences computer.software_genre Running time 03 medical and health sciences Core (game theory) 0302 clinical medicine Geography Health care Confidentiality Quality (business) 030212 general & internal medicine Data mining business Voronoi diagram computer 021101 geological & geomatics engineering Information Systems media_common |
| Zdroj: | International Journal of Geographical Information Science. 30:2253-2275 |
| ISSN: | 1362-3087 1365-8816 |
| DOI: | 10.1080/13658816.2016.1172314 |
| Popis: | Hospitals and health care organizations collect large amounts of detailed health care data that is in high demand by researchers. Thus, the possessors of such data are in need of methods that allow for this data to be released without compromising the confidentiality of the individuals to whom it pertains. As the geographic aspect of this data is becoming increasingly relevant for research being conducted, it is important for an anonymization process to pay due attention to the geographic attributes of such data. In this paper, a novel system for health care data anonymization is presented. At the core of the system is the aggregation of an initial regionalization guided by the use of a Voronoi diagram. We conduct a comparison with another location-based system of anonymization, GeoLeader. We show that our system is capable of producing results of a comparable quality with a much faster running time. |
| Databáze: | OpenAIRE |
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