Explore the limitations of anonymizing web tracking data in this 17-minute IEEE conference talk. Delve into the concept of browsing unicity and its implications for user privacy. Learn about cross-domain tracking, comprehensive profile creation, and the challenges of truly anonymizing browsing patterns. Examine a study conducted with Europe's largest audience measurement association, revealing the vulnerabilities of generalization techniques in protecting user anonymity. Discover how even supposedly anonymized datasets can be compromised through dataset enrichment and shoulder surfing attacks. Gain insights into the complexities of storing and protecting browsing data while considering the ethical implications of widespread web tracking practices.
Browsing Unicity - On the Limits of Anonymizing Web Tracking Data
Overview
Syllabus
Introduction
What is a pseudonym
What is generalization
Dataset
Research Question
Experiments
Limit Maximum Length
Limit Minimum Length
Set Size
identifiability
shoulder surfing
experiment results
second scenario
Summary
Taught by
IEEE Symposium on Security and Privacy
