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What Your Friends Tell Others About You: Low Cost Linkability of Social Network Profiles

Labitzke, S.; Taranu, I.; Hartenstein, H.

Abstract:

Due to the amount of personally identifiable information shared by users of online social networks (OSNs) and the often not adequately adjusted privacy settings, it is possible to identify a user's several OSN profiles. In this paper, we illustrate that third parties just have to take a small step to link OSN profiles of a user and, consequently, to aggregate various pieces of information shared in several OSNs. Particularly, based on statistical results we illustrate how the often publicly available friends lists can be exploited to link several OSN profiles of a single natural person. The results presented in this paper show that profiles can be linked even at low cost, i.e., without complex correlation techniques or high computational power. To assess the risk of privacy leakage by profile linking, we, additionally, report how often specific pieces of information are made publicly available by users in four of the most popular OSNs. We show that users tend to publish different pieces of information in different OSNs and, thereby, demonstrate that by linking friends lists more information about a user can be gained than the user shared in a single OSN. ... mehr


Zugehörige Institution(en) am KIT Institut für Telematik (TM)
Scientific Computing Center (SCC)
Universität Karlsruhe (TH) – Zentrale Einrichtungen (Zentrale Einrichtungen)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2011
Sprache Englisch
Identifikator KITopen-ID: 1000023761
Erschienen in 5th International ACM Workshop on Social Network Mining and Analysis, San Diego, CA, USA, August 2011
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