Online Tracking - A 1-Million-Site Measurement and Analysis
Explore a comprehensive analysis of online tracking techniques presented at the 23rd ACM Conference on Computer and Communications Security. Delve into the findings of a 1-million-site measurement study conducted by Princeton University researchers Steven Englehardt and Arvind Narayanan. Discover how measurement forces companies to address tracking issues and why it's effective in combating non-malicious actors. Learn about the need for a common platform in tracking detection and analysis. Examine various tracking methods, including fingerprinting techniques, WebRTC candidate generation abuse, and Audio Context exploitation. Understand the implications for Tor Browser users and how battery status can be used for tracking. Evaluate the effectiveness of privacy tools in blocking stateful tracking and gain insights into the evolving landscape of online privacy and security.