DocumentCode
189288
Title
Profile Cloning Detection in Social Networks
Author
Brodka, Piotr ; Sobas, Mateusz ; Johnson, Henric
Author_Institution
Inst. of Inf., Wroctaw Univ. of Technol., Wroctaw, Poland
fYear
2014
fDate
29-30 Sept. 2014
Firstpage
63
Lastpage
68
Abstract
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.
Keywords
security of data; social networking (online); Facebook; attribute similarity; profile cloning detection; social networks; Cloning; Educational institutions; Equations; Facebook; Mathematical model; anomaly detection; facebook; profile cloning; social network;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Intelligence Conference (ENIC), 2014 European
Conference_Location
Wroclaw
Type
conf
DOI
10.1109/ENIC.2014.21
Filename
6984892
Link To Document