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Auflistung nach Schlagwort "attack"

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  • Konferenzbeitrag
    I know who you are: Deanonymization using Facebook Likes
    (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.