This course focuses on online tracking, specifically a 1-million-site measurement and analysis. The learning outcomes include understanding the challenges of online tracking, detecting fingerprinting techniques, and exploring the implications for privacy tools like the Tor Browser. The course teaches skills such as detecting fingerprinting, utilizing WebRTC candidate generation for tracking, and using Battery Status to track. The teaching method involves a presentation by experts in the field. The intended audience for this course is individuals interested in computer and communications security, online privacy, and web tracking techniques.
Online Tracking - A 1-Million-Site Measurement and Analysis
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
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
Taught by
ACM CCS
