Name
Title | ||
|---|---|---|
Trajectory Anonymization: Balancing Usefulness about Position Information and Timestamp |
Abstract | ||
|---|---|---|
Movement trajectories can provide useful information for all fields. However, they may have high privacy parameters, sharing trajectory data with other operators without anonymization carries the risk of linking movement trajectories to individuals. Therefore, it is necessary to consider applying privacy protection to trajectory data. Anonymization indicators, such as k-anonymity are generally adopted for anonymization of trajectory data. Some studies modify position information to achieve anonymity. This modification sometimes produces inaccuracies in data sets. In this study, to reduce the modification distance of the position, we propose an algorithm that allows the mismatch of time when the position information is acquired within a certain range. Further, we define indicators that represent distortions of position and time information. As a result of comparing the proposed method and the existing method, the usefulness of the proposed method is shown. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/NTMS.2019.8763833 | 2019 10th IFIP International Conference on New Technologies, Mobility and Security (NTMS) |
Keywords | Field | DocType |
Anonymization,location information,privacy,data utility | Data mining,Data set,Computer science,Operator (computer programming),Timestamp,Anonymity,Trajectory,Distributed computing | Conference |
ISSN | ISBN | Citations |
2157-4952 | 978-1-7281-1543-6 | 0 |
PageRank | References | Authors |
0.34 | 14 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tomoki Chiba | 1 | 0 | 1.01 |
| Yuichi Sei | 2 | 32 | 14.88 |
| Yasuyuki Tahara | 3 | 163 | 49.16 |
| Akihiko Ohsuga | 4 | 283 | 73.35 |