• 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