Beyond Cookie Monster Amnesia : Real World Persistent Online Tracking. / Al-Fannah, Nasser Mohammed; Li, Wanpeng; Mitchell, Chris J.

Information Security : 21st International Conference, ISC 2018, Guildford, UK, September 9–12, 2018, Proceedings. ed. / Liqun Chen; Mark Manulis; Steve Schneider. Springer, 2018. p. 481-501 (Lecture Notes in Computer Science; Vol. 11060).

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Abstract

Browser fingerprinting is a relatively new method of uniquely identifying browsers that can be used to track web users. In some ways it is more privacy-threatening than tracking via cookies, as users have no direct control over it. A number of authors have considered the wide variety of techniques that can be used to fingerprint browsers; however, relatively little information is available on how widespread browser fingerprinting is, and what information is collected to create these fingerprints in the real world. To help address this gap, we crawled the 10,000 most popular websites; this gave insights into the number of websites that are using the technique, which websites are collecting fingerprinting information, and exactly what information is being retrieved. We found that approximately 69% of websites are, potentially, involved in first-party or third-party browser fingerprinting. We further found that third-party browser fingerprinting, which is potentially more privacy-damaging, appears to be predominant in practice. We also describe FingerprintAlert, a freely available browser add-on we developed that detects and, optionally, blocks fingerprinting attempts by visited websites.
Original languageEnglish
Title of host publicationInformation Security
Subtitle of host publication21st International Conference, ISC 2018, Guildford, UK, September 9–12, 2018, Proceedings
EditorsLiqun Chen, Mark Manulis, Steve Schneider
PublisherSpringer
Pages481-501
Number of pages21
ISBN (Electronic)978-3-319-99136-8
ISBN (Print)978-3-319-99135-1
DOIs
Publication statusPublished - 2018

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume11060
This open access research output is licenced under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

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