• DocumentCode
    2406064
  • Title

    Enabling fine-tuned relationship and privacy in social networks

  • Author

    Fressacourt, Antoine ; Hérault, Colombe ; Blin, Marie ; Cauchie, Stéphane

  • Author_Institution
    Atos Worldline R&D, Seclin, France
  • fYear
    2011
  • fDate
    19-21 Oct. 2011
  • Firstpage
    185
  • Lastpage
    188
  • Abstract
    In this article, we suggest a mechanism to ease privacy management in social networks. This mechanism is based on a relationship model which renders the asymmetry and the diversity of real-life relationships between peers. This model defines attributes that are used in an attribute-based encryption system which protects both user information and exchanged data within the social network. This project is currently a work in progress and the ideas developed here will be confirmed during an extensive implementation and testing phase.
  • Keywords
    cryptography; data privacy; social networking (online); attribute-based encryption system; fine-tuned relationship model; privacy management; social networks; Encryption; Facebook; Peer to peer computing; Privacy; Social networks; attribute-based encryption; cryptography; privacy; relationship model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Aspects of Social Networks (CASoN), 2011 International Conference on
  • Conference_Location
    Salamanca
  • Print_ISBN
    978-1-4577-1132-9
  • Type

    conf

  • DOI
    10.1109/CASON.2011.6085941
  • Filename
    6085941