Section: New Software and Platforms
Keyword: Web tracking detection, Large-scale measurement
Description: In our study, we propose a tracking detection method inspired by analyzing behavior of invisible pixels. By crawling 84,658 webpages from 8,744 domains, we detect that third-party invisible pixels are widely deployed: they are present on more than 94.51% of domains and constitute 35.66% of all third-party images. We propose a fine-grained behavioral classification of tracking based on the analysis of invisible pixels. BehaviorTrack uses this classification to detect new categories of tracking and uncover new collaborations between domains on the full dataset of 4,216,454 third-party requests.