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1st International ICST Workshop on Human Control of Ubiquitous Systems

Research Article

Privacy-Friendly User Modelling for Smart Environments

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.4108/ICST.MOBIQUITOUS2008.3929,
        author={Ibrahim Armac and Daniel Rose},
        title={Privacy-Friendly User Modelling for Smart Environments},
        proceedings={1st International ICST Workshop on Human Control of Ubiquitous Systems},
        publisher={ACM},
        proceedings_a={HUCUBIS},
        year={2010},
        month={5},
        keywords={Smart environments user model personalization},
        doi={10.4108/ICST.MOBIQUITOUS2008.3929}
    }
    
  • Ibrahim Armac
    Daniel Rose
    Year: 2010
    Privacy-Friendly User Modelling for Smart Environments
    HUCUBIS
    ICST
    DOI: 10.4108/ICST.MOBIQUITOUS2008.3929
Ibrahim Armac1,*, Daniel Rose1,*
  • 1: Department of Computer Science 3, RWTH Aachen University, Ahornstr. 55, 52074 Aachen, Germany
*Contact email: armac@i3.informatik.rwth-aachen.de, rose@i3.informatik.rwth-aachen.de

Abstract

In this paper we will describe how we model personal data in smart environments, which are user adaptive systems. Personal services in such smart environments can access user data by a consistent interface of our user modelling system. Considering inter-home mobility (i.e. users moving across multiple smart environments), the user model is flexible in the sense that it can dynamically deal with users entering or leaving a smart environment. Applying anonymous credentials and pseudonymity in combination with role-based access control, we can protect the privacy of users while protecting the environments against malicious users.

Keywords
Smart environments user model personalization
Published
2010-05-16
Publisher
ACM
Modified
2010-05-16
http://dx.doi.org/10.4108/ICST.MOBIQUITOUS2008.3929
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