Clustering Geo-Indistinguishability for Privacy of Continuous Location Traces

• Type: Article in International Conference Proceedings Book
• Date: 2019

Authors

Cunha, M (Author) Other; Mendes, R (Author) Other; João P. Vilela (Author) Other

Conference proceedings International

Title: 2019 4TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATIONS AND SECURITY (ICCCS)

4th IEEE International Conference on Computing, Communications and Security (ICCCS)

Rome, ITALY, OCT 10-12, 2019

Indexing

ISI Web of Knowledge - 12 Citations

Scopus - 15 Citations

Other information

Authenticus ID: P-00R-DCY

DOI: 10.1109/cccs.2019.8888111

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8