Abstract
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.
This work is funded by the Science Foundation Ireland (grant SFI/08/CE/I1380 (Líon 2)), by an IRCSET scholarship co-funded by Cisco systems and by the European Commission (FP7, contract FPF-2011-7-287661, GAMBAS).
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Sacco, O., Collina, M., Schiele, G., Corazza, G.E., Breslin, J.G., Hauswirth, M. (2013). Fine-Grained Access Control for RDF Data on Mobile Devices. In: Lin, X., Manolopoulos, Y., Srivastava, D., Huang, G. (eds) Web Information Systems Engineering – WISE 2013. WISE 2013. Lecture Notes in Computer Science, vol 8180. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41230-1_40
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DOI: https://doi.org/10.1007/978-3-642-41230-1_40
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