Missed by Filter Lists: Detecting Unknown Third-Party Trackers with Invisible Pixels
Web tracking has been extensively studied over the last decade. To detect tracking, previous studies and user tools rely on filter lists. However, it has been shown that filter lists miss trackers. In this paper, we propose an alternative method to detect trackers inspired by analyzing behavior of i...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2020-04-01
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| Series: | Proceedings on Privacy Enhancing Technologies |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/popets-2020-0038 |