2019 Fiscal Year Research-status Report
Achieving Differential Privacy under Spatiotemporal Correlations
| Project/Area Number |
19K20269
|
|---|
| Research Institution | Kyoto University |
|---|
Principal Investigator |
曹 洋 京都大学, 情報学研究科, 特定助教 (60836344)
|
|---|
| Project Period (FY) |
2019-04-01 – 2022-03-31
|
| Keywords | Differential Privacy / 差分プライバシー / location privacy / 位置情報プライバシ |
|---|
| Outline of Annual Research Achievements |
We identified several insufficiencies of the state-of-the-art DP-based location privacy models. We assessed the privacy risks of the existing location privacy protection mechanisms (LPPMs) when the adversaries know road networks. It turns out that the adversaries could infer the users' location precisely.
To prevent this, we proposed countermeasures in several aspects.
First, we studied how to represent users' privacy preferences flexibly and how to formalize the secrets about the user's spatiotemporal activities. Third, we design novel mechanisms to protect users' spatiotemporal events.
|
| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
Our studies on spatiotemporal privacy have been accepted in top conferences and journal including IEEE ICDE 2019, VLDB 2019 and IEEE TKDE.
|
| Strategy for Future Research Activity |
Motivated by COVID-19, we will study how to apply our privacy techniques in the real-world for specific purpose like epidemic surveillance.
On the other hand, we will study the theoretical properties of the proposed privacy model and a generalized version of it in order to increase the applicability.
|
