• DocumentCode
    1801495
  • Title

    A Privacy Framework for Personal Self-Improving Smart Spaces

  • Author

    Liampotis, N. ; Roussaki, I. ; Papadopoulou, E. ; Abu-Shaaban, Y. ; Williams, M.H. ; Taylor, N.K. ; McBurney, S.M. ; Dolinar, K.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Athens, Greece
  • Volume
    3
  • fYear
    2009
  • fDate
    29-31 Aug. 2009
  • Firstpage
    444
  • Lastpage
    449
  • Abstract
    There are various critical privacy issues that need to be addressed in the majority of smart space environments. This paper elaborates on the design of a privacy protection framework for personal self-improving smart spaces (PSSs), a concept introduced by the persist project consortium. Compared to other smart spaces, such as smart homes and vehicles, this new paradigm provides a truly ubiquitous and fully personalizable user centric environment. However, the information that needs to be collected, processed and distributed in such an environment is by nature highly privacy sensitive, as it includes user profile data and preferences, as well as data regarding the past, current and even future user activities and context in general. In this respect, the designed privacy framework aims to address all privacy issues that arise by providing facilities which support multiple digital identities of PSS owners and privacy preferences for deriving privacy policies based on the context and the trustworthiness of the third parties that interact with PSSs.
  • Keywords
    data privacy; security of data; PSS owner; activity data; multiple digital identity; persist project consortium; personal self-improving smart space; personalizable user centric environment; privacy policy derivation; privacy protection framework; privacy sensitive nature; smart space environment; user preference; user profile data; Computer security; Identity management systems; Intelligent vehicles; National security; Pervasive computing; Privacy; Protection; Smart homes; Space technology; Space vehicles; digital identity management; personal smart space; privacy; privacy policy negotiation; privacy preferences; trust evaluation; trust inference;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering, 2009. CSE '09. International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4244-5334-4
  • Electronic_ISBN
    978-0-7695-3823-5
  • Type

    conf

  • DOI
    10.1109/CSE.2009.148
  • Filename
    5283193