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I know who you are: Deanonymization using Facebook Likes

dc.contributor.authorRüdian, Sylvio
dc.contributor.authorPinkwart, Niels
dc.contributor.authorLiu, Zhi
dc.contributor.editorCzarnecki, Christian
dc.contributor.editorBrockmann, Carsten
dc.contributor.editorSultanow, Eldar
dc.contributor.editorKoschmider, Agnes
dc.contributor.editorSelzer, Annika
dc.date.accessioned2018-10-10T10:43:35Z
dc.date.available2018-10-10T10:43:35Z
dc.date.issued2018
dc.description.abstractThis 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.en
dc.identifier.isbn978-3-88579-679-4
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/17210
dc.language.isoen
dc.publisherKöllen Druck+Verlag GmbH
dc.relation.ispartofWorkshops der INFORMATIK 2018 - Architekturen, Prozesse, Sicherheit und Nachhaltigkeit
dc.relation.ispartofseriesLecture Notes in Informatics
dc.subjectsocial media
dc.subjectdeanonymization
dc.subjectbrowser-history-stealing
dc.subjectfake-captcha
dc.subjectFacebook
dc.subjectLikes
dc.subjectfingerprint
dc.subjectprivacy
dc.subjectattack
dc.titleI know who you are: Deanonymization using Facebook Likesen
dc.typeText/Conference Paper
gi.citation.endPage118
gi.citation.publisherPlaceBonn
gi.citation.startPage109
gi.conference.date26.-27.09.2018
gi.conference.locationBerlin
gi.conference.sessiontitleSecurity & Privacy at Large

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