Trust calculation to inform privacy recommendations based on context information involvement (e.g. location information, nearby people) is an increasing need in pervasive environments. In this paper we present a multidimensional trust metric designed for access control decisions in scenarios of the EU funded digital.me project. Thereby each involved context information could represent a separate trust dimension. In the focus is the correctness of the suggested trust metric towards meaningful privacy recommendations and improvement of access control decisions for our scenarios. The suggested metric could help to avoid manipulations and attacks based on fundamental requirements for situational trust. Our proposed trust calculation considers a presence history of persons at locations, to increase the accuracy of our base trust value. We present our approach after explaining the fundamental requirements, the underlying ontology framework and architecture.
['Marcel Heupel', 'Lars Fischer', 'Dogan Kesdogan', 'Mohamed Bourimi', 'Simon Scerri', 'Fabian Hermann', 'Rafael Giménez']
Context-Aware, Trust-Based Access Control for the di.me Userware