• DocumentCode
    172347
  • Title

    Rings for privacy: An architecture for privacy-preserving user profiling

  • Author

    Barcellona, C. ; Tinnirello, I. ; Merani, Maria Luisa

  • Author_Institution
    Univ. of Palermo, Palermo, Italy
  • fYear
    2014
  • fDate
    April 27 2014-May 2 2014
  • Firstpage
    199
  • Lastpage
    200
  • Abstract
    In present days, where anyone stays online nearly everywhere and everytime, it is crucial from the viewpoint of service providers to collect consumers data, so that questions such as “what kind of advertisement do they click on?”, “what do they buy online?”, “what IP-TV channels do they watch?” and “what do they like to do on social networks?” are answered and some relevant information about the users´ habits and likes are extracted, resold for business, or employed to provide services that are better tailored to the customers´ interests. Several privacy issues have however to be taken into account, when sensitive data are managed. We believe that approaches which guarantee the users´ privacy have to be pursued: accordingly, we put forth a solution that performs users´ profiling and keeps sensitive information private; additionally, it lends itself to a decentralized, cost-effective implementation.
  • Keywords
    Internet; data privacy; human factors; social networking (online); IP-TV channels; advertisement; consumer data; privacy issues; privacy-preserving user profiling architecture; sensitive information privacy; service providers; social networks; user habit extraction; user like extraction; Clustering algorithms; Computer architecture; Convergence; Cryptography; Data privacy; Privacy; Servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications Workshops (INFOCOM WKSHPS), 2014 IEEE Conference on
  • Conference_Location
    Toronto, ON
  • Type

    conf

  • DOI
    10.1109/INFCOMW.2014.6849224
  • Filename
    6849224