Spatial obfuscation methods for privacy protection of household-level data |
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| Institution: | 1. Department of Geography, San Diego State University, 5500 Campanile Drive, San Diego, CA 92182-4493, USA;2. School of Engineering & IT, Department of Geoinformation and Environmental Technologies, Carinthia University of Applied Sciences, Europastrasse 4, A-9524 Villach, Austria;3. Institute for Geoecology and Geoinformation, Adam Mickiewicz University, Wieniawskiego 1, 61-712 Poznań, Poland;1. College of Computer Science, Zhejiang University of Technology, Hangzhou 310023, PR China;2. College of Computer Science, Zhejiang University, Hangzhou 310027, PR China |
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| Abstract: | The topic of geoprivacy is increasingly relevant as larger quantities of personal location data are collected and shared. The results of scientific inquiries are often spatially suppressed to protect confidentiality, limiting possible benefits of public distribution. Obfuscation techniques for point data hold the potential to enable the public release of more accurate location data without compromising personal identities. This paper examines the application of four spatial obfuscation methods for household survey data. Household privacy is evaluated by a nearest neighbor analysis, and spatial distribution is measured by a cross-k function and cluster analysis. A new obfuscation technique, Voronoi masking, is demonstrated to be distinctively equipped to balance between protecting both household privacy and spatial distribution. |
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| Keywords: | Privacy Geoprivacy Confidentiality Obfuscation Masking |
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