Authors:
Christoph Stach
and
Bernhard Mitschang
Affiliation:
University of Stuttgart, Germany
Keyword(s):
Permission Model, Data-Centric, Derivation Transparent, Fine-Grained, Context-Sensitive, IoT.
Related
Ontology
Subjects/Areas/Topics:
Information and Systems Security
;
Privacy Enhancing Technologies
Abstract:
The Internet of Things (IoT) is gaining more and more relevance. Due to innovative IoT devices equipped with novel sensors, new application domains come up continuously. These domains include Smart Homes, Smart Health, and Smart Cars among others. As the devices not only collect a lot of data about the user, but also share this information with each other, privacy is a key issue for IoT applications. However, traditional privacy systems cannot be applied to the IoT directly due to different requirements towards the underlying permission models. Therefore, we analyze existing permission models regarding their applicability in the IoT domain. Based on this analysis, we come up with a novel permission model, implement it in a privacy system, and assess its utility.