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Repositorio de la Universidad de Oviedo. > Producción Bibliográfica de UniOvi: RECOPILA > Ponencias, Discursos y Conferencias >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/12202

Title: All liaisons are dangerous when all your friends are known to us
Author(s): Gayo Avello, Daniel
Issue date: 2011
Publisher: ACM
Publisher version: http://dx.doi.org/10.1145/1995966.1995991
Format extent: p. 171-180
Abstract: Abstract Online Social Networks (OSNs) are used by millions of users worldwide. Academically speaking, there is little doubt about the usefulness of demographic studies conducted on OSNs and, hence, methods to label unknown users from small labeled samples are very useful. However, from the general public point of view, this can be a serious privacy concern. Thus, both topics are tackled in this paper: First, a new algorithm to perform user profiling in social networks is described, and its performance is reported and discussed. Secondly, the experiments --conducted on information usually considered sensitive-- reveal that by just publicizing one's contacts privacy is at risk and, thus, measures to minimize privacy leaks due to social graph data mining are outlined
URI: http://hdl.handle.net/10651/12202
ISBN: 9781450302562
Local identifier: 20111013
Appears in Collections:Ponencias, Discursos y Conferencias
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