Query Privacy in Sensing-as-a-Service Platforms

TitleQuery Privacy in Sensing-as-a-Service Platforms
Publication TypeConference Paper
Year of Publication2017
AuthorsR. Rios, D. Nuñez, and J. Lopez
EditorS. De Capitan di Vimercati, and F. Martinelli
Conference Name32nd International Conference on ICT Systems Security and Privacy Protection (IFIP SEC 2017)
Series TitleIFIP Advances in Information and Communication Technology (AICT)
Date Published05/2017
Conference LocationRoma, Italy

The Internet of Things (IoT) promises to revolutionize the way we interact with the physical world. Even though this paradigm is still far from being completely realized, there already exist Sensing-as-a-Service (S2aaS) platforms that allow users to query for IoT data. While this model offers tremendous benefits, it also entails increasingly challenging privacy issues. In this paper, we concentrate on the protection of user privacy when querying sensing devices through a semi-trusted S2aaS platform. In particular, we build on techniques inspired by proxy re-encryption and k-anonymity to tackle two intertwined problems, namely query privacy and query confidentiality. The feasibility of our solution is validated both analytically and empirically. 

Citation KeyRios2017query
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