(Workshops der
INFORMATIK 2018 -
Architekturen, Prozesse,
Sicherheit und Nachhaltigkeit, 2018) Rüdian, Sylvio; Pinkwart, Niels; Liu, Zhi
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.