PriSTE: Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services
Summary: PriSTE protects spatiotemporal event privacy in continuous LBS by wrapping existing LPPMs with event-aware guarantees. The demo shows risk of spatiotemporal events and lets users auto/manual convert LPPMs, exposing privacy–utility trade-offs. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yang Cao
- 2. Yonghui Xiao
- 3. Li Xiong
- 4. Liquan Bai
- 5. Masatoshi Yoshikawa
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,623 | PANDA: Policy-aware Location Privacy for Epidemic Surveillance | 2020 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,809 | LocLok: Location Cloaking with Differential Privacy via Hidden Markov Model | 2017 | VLDB | 4.1945683e-05 |
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