I know who you are: Deanonymization using Facebook Likes

Abstract
This paper presents a method to deanonymize people using fanpages’ Likes of Facebook users. The strategy shows that information of Likes can be easily crawled from Facebook. Combined with an interactive version of browser-history-stealing it can be used to get identities of users on a website. The attack is possible because of the existence of Facebook’ Likes that can be used as a fingerprint. The claim was tested and discussed with real-world collected data. With the assumption of at least 4 collected Likes per user, 99.91% of them can be deanonymized through the fingerprint of Likes. Apart from that we provide potential solutions for protection of identities in social media.
  • Citation
  • BibTeX
Rüdian, S., Pinkwart, N. & Liu, Z., (2018). I know who you are: Deanonymization using Facebook Likes. In: Czarnecki, C., Brockmann, C., Sultanow, E., Koschmider, A. & Selzer, A. (Hrsg.), Workshops der INFORMATIK 2018 - Architekturen, Prozesse, Sicherheit und Nachhaltigkeit. Bonn: Köllen Druck+Verlag GmbH. (S. 109-118).
@inproceedings{mci/Rüdian2018,
author = {Rüdian, Sylvio AND Pinkwart, Niels AND Liu, Zhi},
title = {I know who you are: Deanonymization using Facebook Likes},
booktitle = {Workshops der INFORMATIK 2018 - Architekturen, Prozesse, Sicherheit und Nachhaltigkeit},
year = {2018},
editor = {Czarnecki, Christian AND Brockmann, Carsten AND Sultanow, Eldar AND Koschmider, Agnes AND Selzer, Annika} ,
pages = { 109-118 },
publisher = {Köllen Druck+Verlag GmbH},
address = {Bonn}
}
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ISBN: 978-3-88579-679-4
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2018
Language: en (en)
Content Type: Text/Conference Paper
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