    @inproceedings {Rios2017query,
	title = {Query Privacy in Sensing-as-a-Service Platforms},
	booktitle = {32nd International Conference on ICT Systems Security and Privacy Protection (IFIP SEC 2017)},
	series = {IFIP Advances in Information and Communication Technology (AICT)},
	volume = {502},
	year = {2017},
	month = {05/2017},
	pages = {141{\textendash}154},
	publisher = {Springer},
	organization = {Springer},
	address = {Roma, Italy},
	abstract = {<p>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 (S<sup>2</sup>aaS) 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 S<sup>2</sup>aaS 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.\&nbsp;</p>
},
	doi = {10.1007/978-3-319-58469-0_10},
	author = {Ruben Rios and David Nu{\~n}ez and Javier Lopez},
	editor = {Sabrina De Capitani di Vimercati and Fabio Martinelli}
}
