Fine-Grained Access Control for RDF data on Mobile Devices

Existing approaches for fine-grained access control for RDF data suffer from high overhead, making them ill-suited for mobile devices. This makes it difficult to develop mobile applications that manage personal RDF data in a privacy preserving manner. In this paper we propose a new approach to realise fine-grained access control for mobile devices. We show how fine-grained privacy settings for personal information stored in mobile devices can be described using the Privacy Preference Ontology (PPO) - a light-weight vocabulary for defining fine-grained privacy preferences. Moreover, we introduce a two stage privacy preservation approach for efficient filtering of personal information on mobile devices. Our approach combines (1) an efficient query-based analysis stage with (2) a result filtering stage based on the privacy preferences described using PPO. © 2013 Springer-Verlag.