• DocumentCode
    2224602
  • Title

    Improving Trust and Privacy Models in Social Networks

  • Author

    Jabeur, Nafaâ ; Zeadally, Sherali ; Maydebura, Sergey

  • Author_Institution
    Comput. Sci. Dept., Dhofar Univ., Salalah, Oman
  • fYear
    2012
  • fDate
    7-10 May 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The disclosure and misuse of personal information are two major problems of social networking sites. To address these problems, several models focusing on trust or privacy have been proposed. We propose a privacy model addressing the following issues: What could be private? For whom is it private? When is it private? And how can it be made private? We also propose a trust model covering five aspects related to what could be trusted, when it could be trusted, where it could be trusted, whom to trust, and why to trust someone/something. In addition to leveraging results from current research works on trust and privacy, our models are based on the results of our survey that we have undertaken to analyze the responses of users to friendship requests from unknown individuals and to conduct a comprehensive gender-based analysis of the collected data.
  • Keywords
    computer network security; data privacy; social networking (online); trusted computing; data collection; gender-based analysis; privacy model; social networking site; trust model; user response analysis; Adaptation models; Context; Context modeling; Data models; Data privacy; Privacy; Social network services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    New Technologies, Mobility and Security (NTMS), 2012 5th International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    2157-4952
  • Print_ISBN
    978-1-4673-0228-9
  • Electronic_ISBN
    2157-4952
  • Type

    conf

  • DOI
    10.1109/NTMS.2012.6208769
  • Filename
    6208769