Towards context adaptive privacy decisions in ubiquitous computing

Florian Schaub, Bastian Könings, M. Weber, Frank Kargl

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    9 Citations (Scopus)
    74 Downloads (Pure)


    In ubiquitous systems control of privacy settings will be increasingly difficult due to the pervasive nature of sensing and communication capabilities. We identify challenges for privacy decisions in ubiquitous systems and propose a system for in situ privacy decision support. When context changes occur, the system adapts a user's privacy preferences to the new situation. As a consequence, recommendations can be offered to the user or sharing behavior can be automatically adjusted to help the user maintain a desired level of privacy. The system learns from user interaction and behavior to improve decision accuracy. In this paper, we outline the main components of our system and illustrate its operation with an ambient assisted living use case.
    Original languageUndefined
    Title of host publicationIEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)
    Place of PublicationUSA
    PublisherIEEE Computer Society
    Number of pages4
    ISBN (Print)978-1-4673-0905-9
    Publication statusPublished - 19 Mar 2012
    EventIEEE International Conference on Pervasive Computing and Communications, PerCom 2012 - Lugano, Switzerland
    Duration: 19 Mar 201223 Mar 2012

    Publication series

    PublisherIEEE Computer Society


    WorkshopIEEE International Conference on Pervasive Computing and Communications, PerCom 2012
    Abbreviated titlePerCom
    Internet address


    • METIS-287894
    • Context
    • IR-80665
    • Ubiquitous
    • SCS-Cybersecurity
    • Adaptive
    • EWI-21973
    • EC Grant Agreement nr.: FP7/269994
    • Computing

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