• DocumentCode
    2528078
  • Title

    Enabling context-aware and privacy-conscious user data sharing

  • Author

    Hull, Richard ; Kumar, Bharat ; Lieuwen, Daniel ; Patel-Schneider, Peter F. ; Sahuguet, Arnaud ; Varadarajan, Sriram ; Vyas, Avinash

  • Author_Institution
    Bell Labs., Lucent Technol., Murray Hill, NJ, USA
  • fYear
    2004
  • fDate
    2004
  • Firstpage
    187
  • Lastpage
    198
  • Abstract
    This paper provides detail on two key components of the Houdini framework under development at Bell Labs, that enable context-aware and privacy-conscious user data sharing appropriate for mobile and/or ubiquitous computing. The framework includes an approach for integrating data from diverse sources, for gathering user preferences for what data to share and when to share it, and a policy management infrastructure in the network for enforcing those preferences. The current paper focuses on two components of this infrastructure that are essential for mobile and ubiquitous computing, namely the framework to support self-provisioning of preferences, and the performance of the underlying rules engine.
  • Keywords
    electronic data interchange; mobile communication; mobile computing; ubiquitous computing; Bell Labs; Houdini framework; context-aware user data sharing; data integration; mobile computing; policy management infrastructure; preferences self-provisioning; privacy-conscious user data sharing; rules engine; ubiquitous computing; Appropriate technology; Computer network management; Data privacy; Filters; Internet telephony; Mobile communication; Mobile computing; Search engines; Telecommunications; Ubiquitous computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Data Management, 2004. Proceedings. 2004 IEEE International Conference on
  • Print_ISBN
    0-7695-2070-7
  • Type

    conf

  • DOI
    10.1109/MDM.2004.1263065
  • Filename
    1263065