• DocumentCode
    3281315
  • Title

    Twins (1): Extending SQL to Support Corporation Privacy Policies in Social Networks

  • Author

    Pun, Sampson ; Chinaei, Amir H. ; Barker, Ken

  • Author_Institution
    Univ. of Calgary, Calgary, AB, Canada
  • fYear
    2009
  • fDate
    20-22 July 2009
  • Firstpage
    306
  • Lastpage
    311
  • Abstract
    Twins are two extensions onto SQL to support user privacy in social networks: one is corporate-based and the other is user-centric, corresponding to well-known mandatory access control and discretionary access control models, respectively. This paper illustrates the former. The approach adds some predicates to the CREATE TABLE command to capture common corporate-based user privacy requirements, such as purpose, generalization, and retention, required by social networks desiring to support privacy. Hence, the corporation, when creating the underlying databases, defines what the mandatory privacy policies are with which all users must comply. The extension is supported with underlying catalogues, algorithms, and prototype. The key contribution is a low-cost mechanism to develop new systems-that are privacy-preserved-and to transform legacy database MAC models to their privacy preserving equivalents. Although our examples are from social networks, the results apply to data security and user privacy of other enterprises too.
  • Keywords
    SQL; authorisation; data privacy; relational databases; social networking (online); CREATE TABLE command; SQL; corporation privacy policy; data security; discretionary access control; legacy database; low-cost mechanism; mandatory access control; social network; user privacy; Access control; Data privacy; Data security; Database languages; Facebook; Information security; MySpace; Proposals; Prototypes; Social network services; Mandatory Access Control; Relational Models; Security and Privacy Policies; Social Networks; e-Business;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Social Network Analysis and Mining, 2009. ASONAM '09. International Conference on Advances in
  • Conference_Location
    Athens
  • Print_ISBN
    978-0-7695-3689-7
  • Type

    conf

  • DOI
    10.1109/ASONAM.2009.76
  • Filename
    5231855