~/talk

Analysis of Privacy Protections in Fitness Tracking Social Networks -or- You can run, but can you hide?

Talkat USENIX Security '18 · on Thursday, 2018-08-16· at 09:25· Grand Ballroom 1-4· [privacy-and-compliance, web-performance]
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slides:none on file

This study scrapes 21 million posts from a popular fitness service and finds 16.5% of users enable circular Endpoint Privacy Zones (EPZs). A geometry + consensus attack reconstructs hidden centers from remaining route fragments and GPS jitter, placing 95.1% of moderately active users at risk when they have ≥3 protected activities. Adaptations of geo‑indistinguishability, EPZ fuzzing and spatial cloaking reduce leakage; affected companies deploy variants of these countermeasures after responsible disclosure.

AI-written summary · about

  1. 0:00Introduction to fitness apps
  2. 1:13Privacy risks in tracking
  3. 2:26Endpoint privacy zone flaws
  4. 5:53Proposed research methodology
  5. 10:47Evaluation and mitigation
  6. 13:11Study results and disclosure
  7. 16:26Q&A and closing discussion
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