Conference paper Open Access
A comparison of obfuscation methods for privacy protection: A case study using agri-environmental data in the Republic of Ireland
Nowbakht, Parvaneh; O'Sullivan, Lilian; Cawkwell, Fiona; Wall, David; Holloway, Paul
A major challenge of sharing spatially explicit agriculture data is to identify the trade-off between field parcel confidentiality and spatial pattern preservation. In this work, twenty-seven point-based obfuscation and evaluation methods were applied on agriculture data with a high point density. This study identified the optimal value of radiuses for Donut and Density methods to improve geoprivacy and statistical analysis accuracy. Modified AHilb and Donut-AHilb methods were developed to generate smaller and arbitrary obfuscation areas to improve location security. The Donut-AHilb method was found to be the best in spatial pattern preservation and satisfy larger k-anonymity but the risk of false identification and non-unique obfuscation were high. The term of non-unique obfuscated points was introduced which is important for static objects as two or more points might have the same obfuscated point.
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- Publication date:
- April 6, 2021
- DOI:
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- Meeting:
- 29th Annual GIS Research UK Conference (GISRUK), Cardiff, Wales, UK (Online), 14-16 April 2021
- License (for files):
- Creative Commons Attribution 4.0 International