Privacy-Friendly User Modelling for Smart Environments

Ibrahim Armac; Daniel Rose

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