Tracking personal identifiers across the web

Marjan Falahrastegar, Hamed Haddadi, Steve Uhlig, Richard Mortier

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

User tracking has become de facto practice of the Web, however, our understanding of the scale and nature of this practice remains rudimentary. In this paper, we explore the connections amongst all parties of the Web, especially focusing on how trackers share user IDs. Using data collected from both browsing histories of 129 users and active experiments, we identify user-specific IDs that we suspect are used to track users. We find a significant amount of ID-sharing practices across different organisations providing various service categories. Our observations reveal that ID-sharing happens in a large scale regardless of the user profile size and profile condition such as logged-in and logged-out. We unexpectedly observe a higher number of ID-sharing domains when user is logged-out.We believe that our work reveals the huge gap between what is known about user tracking and what is done by this complex and important ecosystem.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages30-41
Number of pages12
Volume9631
ISBN (Print)9783319305042
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event17th International Conference on Passive and Active Measurement, PAM 2016 - Heraklion, Greece
Duration: 31 Mar 20161 Apr 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9631
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other17th International Conference on Passive and Active Measurement, PAM 2016
CountryGreece
CityHeraklion
Period31/3/161/4/16

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ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Falahrastegar, M., Haddadi, H., Uhlig, S., & Mortier, R. (2016). Tracking personal identifiers across the web. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9631, pp. 30-41). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9631). Springer Verlag. https://doi.org/10.1007/978-3-319-30505-9_3