Name
Title | ||
|---|---|---|
A Distributed Location Trusted Service Achieving k-Anonymity against the Global Adversary |
Abstract | ||
|---|---|---|
When location-based services (LBS) are delivered, location data should be protected against honest-but-curious LBS providers, them being quasi-identifiers. One of the existing approaches to achieving this goal is location k-anonymity, which leverages the presence of a trusted party, called location trusted service (LTS), playing the role of anonymizer. A drawback of this approach is that the locat... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/MDM52706.2021.00029 | 2021 22nd IEEE International Conference on Mobile Data Management (MDM) |
Keywords | DocType | ISSN |
Location k-anonymity,Privacy,Location-Based Services | Conference | 1551-6245 |
ISBN | Citations | PageRank |
978-1-6654-2845-3 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francesco Buccafurri | 1 | 998 | 95.97 |
| Vincenzo De Angelis | 2 | 1 | 2.06 |
| Maria Francesca Idone | 3 | 0 | 1.69 |
| Cecilia Labrini | 4 | 0 | 2.03 |