Privacy context model for dynamic privacy adaptation in ubiquitous computing

Florian Schaub, Bastian Koenings, Stefan Dietzel, M. Weber, Frank Kargl

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    7 Citations (Scopus)
    40 Downloads (Pure)

    Abstract

    Ubiquitous computing is characterized by the merger of physical and virtual worlds as physical artifacts gain digital sensing, processing, and communication capabilities. Maintaining an appropriate level of privacy in the face of such complex and often highly dynamic systems is challenging. We argue that context awareness not only enables novel UbiComp applications but can also support dynamic regulation and configuration of privacy mechanisms. We propose a higher level context model that abstracts from low level details and contains only privacy relevant context features. Context changes in our model can trigger reconfiguration of privacy mechanisms or facilitate context-specific privacy recommendations to the user. Based on our model, we analyze potential privacy implications of context changes and discuss how these results could inform actual reconfiguration of privacy mechanisms.
    Original languageUndefined
    Title of host publicationProceedings of the 2012 ACM Conference on Ubiquitous Computing, UbiComp 2012, CASEMANS 2012 Workshop
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery (ACM)
    Pages752-757
    Number of pages6
    ISBN (Print)978-1-4503-1224-0
    DOIs
    Publication statusPublished - Sep 2012

    Publication series

    Name
    PublisherACM

    Keywords

    • SCS-Cybersecurity
    • privacy impact assessment
    • EC Grant Agreement nr.: FP7/269994
    • EWI-22875
    • Context awareness
    • IR-83505
    • Privacy
    • Pervasive computing
    • Personalization
    • METIS-293306
    • Ubiquitous Computing

    Cite this

    Schaub, F., Koenings, B., Dietzel, S., Weber, M., & Kargl, F. (2012). Privacy context model for dynamic privacy adaptation in ubiquitous computing. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing, UbiComp 2012, CASEMANS 2012 Workshop (pp. 752-757). New York: Association for Computing Machinery (ACM). https://doi.org/10.1145/2370216.2370383