Spatial obfuscation methods for privacy protection of household-level data
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- 作者：Dara E. Seidla ; dseidl@mail.sdsu.edu" class="auth_mail" title="E-mail the corresponding author ; Gernot Paulusb ; g.paulus@fh-kaernten.at" class="auth_mail" title="E-mail the corresponding author ; Piotr Jankowskia ; c ; pjankows@mail.sdsu.edu" class="auth_mail" title="E-mail the corresponding author ; Melanie Regenfelderb ; m.regenfelder@fh-kaernten.at" class="auth_mail" title="E-mail the corresponding author
- 关键词：Privacy ; Geoprivacy ; Confidentiality ; Obfuscation ; Masking
- 刊名：Applied Geography
- 出版年：2015
- 出版时间：September 2015
- 年：2015
- 卷：63
- 期：Complete
- 页码：253-263
- 全文大小：2506 K
文摘
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Four privacy obfuscation techniques are tested on residential point data.
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We introduce a new geomasking technique, Voronoi masking.
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Weighted random perturbation and Voronoi masking maintain point clustering.
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Voronoi masking performs best in privacy and spatial information preservation.