Quantifying Privacy Loss of Human Mobility Graph Topology
Human mobility is often represented as a mobility network, or graph, with nodes representing places of significance which an individual visits, such as their home, work, places of social amenity, etc., and edge weights corresponding to probability estimates of movements between these places. Previou...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2018-06-01
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| Series: | Proceedings on Privacy Enhancing Technologies |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/popets-2018-0018 |