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Profile Cloning Detection in Social Networks
Wroclaw Univ Technol, Inst Informat, PL-50370 Wroclaw, Poland..
Wroclaw Univ Technol, Inst Informat, PL-50370 Wroclaw, Poland..
Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation.
2014 (engelsk)Inngår i: 2014 EUROPEAN NETWORK INTELLIGENCE CONFERENCE (ENIC), IEEE Computer Society, 2014, s. 63-68Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Profile cloning is a severe security issue in social networks since it is used to make a profile identical to existing ones. Profile cloning detection creates a possibility to detect frauds that would use people's trust to gather social information. This paper proposes two novel methods of profile cloning detection and also presents state-of-the-art research. The first method is based on the similarity of attributes from both profiles and the second method is based on the similarity of relationship networks. The methods are further evaluated with experiments and the results clearly describes that the proposed methods are useful and efficient compared to existing methods. The paper also stress that profile cloning in Facebook is not only possible but also fairly easy to perform.

sted, utgiver, år, opplag, sider
IEEE Computer Society, 2014. s. 63-68
Emneord [en]
anomaly detection, profile cloning, social network, facebook
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-10855DOI: 10.1109/ENIC.2014.21ISI: 000361480100010ISBN: 978-1-4799-6914-2 (tryckt)OAI: oai:DiVA.org:bth-10855DiVA, id: diva2:862003
Konferanse
1st European Network Intelligence Conference (ENIC), Wroclaw, POLAND
Tilgjengelig fra: 2015-10-20 Laget: 2015-10-20 Sist oppdatert: 2018-01-11bibliografisk kontrollert

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Totalt: 182 treff
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  • nn-NB
  • sv-SE
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