Abstract : 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$$^2$$2aaS) 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$$^2$$2aaS 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.
Type de document :
Communication dans un congrès
Sabrina De Capitani di Vimercati; Fabio Martinelli. 32th IFIP International Conference on ICT Systems Security and Privacy Protection (SEC), May 2017, Rome, Italy. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-502, pp.141-154, 2017, ICT Systems Security and Privacy Protection. 〈10.1007/978-3-319-58469-0_10〉
https://hal.inria.fr/hal-01648989
Contributeur : Hal Ifip
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Soumis le : lundi 27 novembre 2017 - 10:31:00
Dernière modification le : lundi 27 novembre 2017 - 10:34:20
Ruben Rios, David Nuñez, Javier Lopez. Query Privacy in Sensing-as-a-Service Platforms. Sabrina De Capitani di Vimercati; Fabio Martinelli. 32th IFIP International Conference on ICT Systems Security and Privacy Protection (SEC), May 2017, Rome, Italy. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-502, pp.141-154, 2017, ICT Systems Security and Privacy Protection. 〈10.1007/978-3-319-58469-0_10〉. 〈hal-01648989〉
