Geomasking sensitive health data and privacy protection: an evaluation using an E911 database Article Swipe
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· 2020
· Open Access
·
· DOI: https://doi.org/10.17615/4f5h-ar22
Geomasking is used to provide privacy protection for individual address information while maintaining spatial resolution for mapping purposes. Donut geomasking and other random perturbation geomasking algorithms rely on the assumption of a homogeneously distributed population to calculate displacement distances, leading to possible under-protection of individuals when this condition is not met. Using household data from 2007, we evaluated the performance of donut geomasking in Orange County, North Carolina. We calculated the estimated k-anonymity for every household based on the assumption of uniform household distribution. We then determined the actual k-anonymity by revealing household locations contained in the county E911 database. Census block groups in mixed-use areas with high population distribution heterogeneity were the most likely to have privacy protection below selected criteria. For heterogeneous populations, we suggest tripling the minimum displacement area in the donut to protect privacy with a less than 1% error rate.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.17615/4f5h-ar22
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4301170679
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4301170679Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.17615/4f5h-ar22Digital Object Identifier
- Title
-
Geomasking sensitive health data and privacy protection: an evaluation using an E911 databaseWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-11-03Full publication date if available
- Authors
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William B. Allshouse, Molly K. Fitch, Kristen H. Hampton, Dionne Gesink, Irene A. Doherty, Peter A. Leone, Marc L. Serre, William C. MillerList of authors in order
- Landing page
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https://doi.org/10.17615/4f5h-ar22Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.17615/4f5h-ar22Direct OA link when available
- Concepts
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Computer science, Privacy protection, Database, Information privacy, Internet privacy, Computer securityTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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