• DocumentCode
    3031941
  • Title

    Preserving Privacy in Assistive Technologies

  • Author

    Goo, S.K. ; Irvine, J.M. ; Andonovic, I. ; Tomlinson, A.

  • Author_Institution
    Dept. of EEE, Univ. of Strathclyde, Glasgow, UK
  • fYear
    2009
  • fDate
    14-18 June 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Assistive technologies enable individuals to perform a function that might be difficult or they otherwise are unable to do. However, the provision of context-awareness interfaces and accessible information everywhere bring with them the potential for data violations, with concomitant privacy issues such as spying and exploitation. Privacy preservation can thus constrain deployment. The aim of this paper is to promote user sensitiveness in privacy policy and tackle malicious data extraction and selling, with the focus on assistive technologies for a diverse mix of services for use in applications ranging from healthcare to smart shopping.
  • Keywords
    data mining; data privacy; ubiquitous computing; assistive technologies; context-awareness interfaces; data extraction; data mining; healthcare; privacy policy; privacy preservation; smart shopping; Data mining; Data privacy; Distributed computing; Humans; Information security; Medical conditions; Medical services; Mobile computing; Pervasive computing; Ubiquitous computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications Workshops, 2009. ICC Workshops 2009. IEEE International Conference on
  • Conference_Location
    Dresden
  • Print_ISBN
    978-1-4244-3437-4
  • Type

    conf

  • DOI
    10.1109/ICCW.2009.5208079
  • Filename
    5208079