Clustering Geo-Indistinguishability for Privacy of Continuous Location Traces

被引：13
|
作者：
Cunha, Mariana [1 ]
Mendes, Ricardo [1 ]
Vilela, Joao P. [1 ]
机构：
[1] Univ Coimbra, Dept Informat Engn, CISUC, Coimbra, Portugal
来源：
2019 4TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATIONS AND SECURITY (ICCCS) | 2019年
关键词：
Location Privacy; Location Privacy-Preserving Mechanisms; Location-Based Services; Geo-Indistinguishability; Clustering; Geofencing; CLASSIFICATION;
D O I：
10.1109/cccs.2019.8888111
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We consider privacy of obfuscated location reports that can be correlated through time/space to estimate the real position of a user. We propose a user-centric Location Privacy Preserving Mechanism (LPPM) that protects users not only against single reports, but also over time, against continuous reports. Our proposed mechanism, designated clustering geo-indistinguishability, creates obfuscation clusters to aggregate nearby locations into a single obfuscated location. To evaluate the utility of the mechanism, we resorted to a real use-case based on geofencing. Our evaluation results have shown a suitable privacy-utility trade-off for the proposed clustering geo-indistinguishability mechanism.
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页数：8
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