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How I and others can link my various social network profiles as a basis to reveal my virtual appearance

Labitzke, S.; Dinger, J.; Hartenstein, H.

Abstract:

Today, many Internet users take part in online social networks (OSNs) like Facebook, Xing, LinkedIn, MySpace, studiVZ, and others. However, the motives for participation are multifaceted and stand in contrast to the motivation not to join OSNs because of the potential danger with respect to privacy aspects. This risk is already perceived by some OSN users but still underestimated. The naive handling with personal data inside such networks combined with many possibilities to link several OSN profiles of a single user paves the way for third-parties to gather the comprehensive virtual appearance of a person. Therefore, to turn the tables, such correlations of information might be useful to demonstrate to a user a measure of how linkable his personal data is, given the current exposure of his public data in OSN profiles. In this paper we point out some astonishing simple ways to automatically link data from different OSNs. As we want to and have to act compliant to the German data protection laws, we analyze corresponding requirements and sketch our concept for compliant statistical sampling. We further show preliminary results regarding successful profile correlations based on, even under legal and technical constraints, extracted friends lists.


Scopus
Zitationen: 3
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 ISBN: 978-3-88579-281-9
ISSN: 1617-5468
KITopen-ID: 1000023246
Erschienen in 4. DFN-Forum Kommunikationstechnologien. Verteilte Systeme im Wissenschaftsbereich, 20.06. - 21.06.2011 in Bonn. Hrsg.: P. Müller
Verlag Gesellschaft für Informatik (GI)
Seiten 123-132
Serie Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI) ; 187
Nachgewiesen in Scopus
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