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About Fingerprinting Mobile Browsers
This document is a master's thesis that explores fingerprinting techniques for mobile browsers. It investigates the evolution of browser features fingerprints over time for Chrome and Firefox. It also analyzes fingerprints collected from 134 browsing sessions, finding that IP address, user agent, and media devices are the highest entropy contributors. The maximum entropy gain of 6.58 bits can be obtained by combining only media devices and user agent strings. The thesis examines additional fingerprintable metrics from modern APIs like sensors, audio, media, and battery. It finds that fingerprints from these APIs frequently change across browser versions and are high entropy contributors.
Detailed Information
| Author: | ['linhchicva'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 61 |
| Language: | English |
| Format: | |
| Price: | FREE |
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