# Fingerprinting and Tracing Shadows: The Development and Impact of Browser Fingerprinting on Digital Privacy

arXiv: https://arxiv.org/abs/2411.12045 · HTML: https://mlsanity.com/paper/2411.12045/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 5 of its 46 references that are in the map.
- First posted on arXiv 18 Nov 2024.

## Builds on (most cited first, 5 of 5)

- [Goodbye Tracking? Impact of iOS App Tracking Transparency and Privacy Labels](https://mlsanity.com/paper/2204.03556/) (2022)
- [Fingerprinting the Fingerprinters: Learning to Detect Browser Fingerprinting Behaviors](https://mlsanity.com/paper/2008.04480/) (2020)
- [DRAWNAPART: A Device Identification Technique based on Remote GPU Fingerprinting](https://mlsanity.com/paper/2201.09956/) (2022)
- [Hardware Fingerprinting Using HTML5](https://mlsanity.com/paper/1503.01408/) (2015)
- [A Study of Feasibility and Diversity of Web Audio Fingerprints](https://mlsanity.com/paper/2107.14201/) (2021)

## Abstract (arXiv)

Browser fingerprinting is a growing technique for identifying and tracking users online without traditional methods like cookies. This paper gives an overview by examining the various fingerprinting techniques and analyzes the entropy and uniqueness of the collected data. The analysis highlights that browser fingerprinting poses a complex challenge from both technical and privacy perspectives, as users often have no control over the collection and use of their data. In addition, it raises significant privacy concerns as users are often tracked without their knowledge or consent.