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Dealing with Uncertainty in Context-Aware Mobile Applications

Authors:
Christian Jung
Andreas Eitel
Denis Feth
Manuel Rudolph

Keywords: Context-Awareness; Context-Modeling; Security

Abstract:
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.

Pages: 1 to 7

Copyright: Copyright (c) IARIA, 2015

Publication date: June 21, 2015

Published in: conference

ISSN: 2308-3468

ISBN: 978-1-61208-417-6

Location: Brussels, Belgium

Dates: from June 21, 2015 to June 26, 2016