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Dealing with uncertainty in context-aware mobile applications

: Jung, Christian; Eitel, Andreas; Feth, Denis; Rudolph, Manuel

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Noll, Josef (Ed.) ; International Academy, Research, and Industry Association -IARIA-:
Fifth International Conference on Mobile Services, Resources, and Users, Mobility 2015. Proceedings : June 21, 2015 to June 26, 2016, Brussels, Belgium
IARIA, 2015
ISBN: 978-1-61208-417-6
7 pp.
International Conference on Mobile Services, Resources, and Users (MOBILITY) <5, 2015, Brussels>
Conference Paper, Electronic Publication
Fraunhofer IESE ()
context awareness; context modeling; security

The exploitation of context-awareness, especially in mobile devices bears a huge potential. For example, mobile workers benefit from systems that adapt security settings to the current situation. However, context-aware computing strongly relies on raw data from various sources that might be neither trustworthy nor authoritative. In this work, we present a context model that explicitly reflects security and relevance of context information sources in order to improve context detection. We introduce a security rating denoting the trustworthiness of the context information, i.e., its vulnerability to forgery, and a relevance rating denoting the source’s decisive impact on context detection.