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.

Intro
Measurement forces companies to fox problems
Measurement is effective because most actors are not malicious
A need for a common platform
Detecting Fingerprinting
Abusing WebRTC candidate generation for tracking
Using Audio Context for fingerprinting
Implications for Tor Browser
Using Battery Status to Track
Privacy tools effectively block stateful tracking