~/talk

A Privacy Analysis of Cross-device Tracking

name:Jie S. Li
links:none on file
linkedin:hyungtaekim
links:none on file
links:none on file
slides:none on file

Describes a measurement method that detects cross-device linking, a dataset from 126 users (107 with both mobile and desktop histories), and an algorithm using IP overlap, shared URLs and app-to-site mappings that achieves up to F1 = 0.91 for matching mobile to desktop in this set. Reports ~9,732 desktop and ~3,000 mobile trackers with 2,571 overlapping, Google reaches ~50% of users, Facebook ~20%, and finds 17 of 40 sampled companies omit cross-device disclosure in privacy policies.

AI-written summary · about

  1. 0:00Introduction to tracking
  2. 4:23Methodology and experiments
  3. 6:45Data flow analysis
  4. 10:04Device matching algorithm
  5. 14:15Performance metrics
  6. 15:40Insights from user data
  7. 19:11Landscape of trackers
  8. 21:44Privacy policy compliance
  9. 23:38Future work and conclusion
  10. 25:04Q&A session
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