Clustering Geo-Indistinguishability for Privacy of Continuous Location Traces

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2019

Autores

Cunha, M (Autor) Outra; Mendes, R (Autor) Outra; João P. Vilela (Autor) Outra

Ata de Conferência Internacional

Título: 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

Indexação

ISI Web of Knowledge - 12 Citações

Scopus - 15 Citações

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8