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Privacy-preserving computation of participatory noise maps in the cloud
(Elsevier Ltd., 2014-06)
This paper presents a privacy-preserving system for participatory sensing, which relies on cryptographic techniques and distributed computations in the cloud. Each individual user is represented by a personal software ...
A Privacy-by-Design Contextual Suggestion System for Tourism
(MDPI, 2016-05-05)
We focus on personal data generated by the sensors and through the everyday usage of smart devices and take advantage of these data to build a non-invasive contextual suggestion system for tourism. The system, which we ...
Pythia: A Privacy-enhanced Personalized Contextual Suggestion System for Tourism
(COMPSAC, 2015-07)
We present Pythia, a privacy-enhanced non-invasive contextual suggestion system for tourists, with important architectural innovations. The system offers high quality personalized recommendations, non-invasive operation ...
A privacy-preserving cloud computing system for creating participatory noise maps
(IEEE, 2012)
Participatory sensing is a crowd-sourcing technique which relies both on active contribution of citizens and on their location and mobility patterns. As such, it is particularly vulnerable to privacy concerns, which may ...