SAWLnet: Sensitivity Aware Location Cloaking on Road-NETworks

Location based queries are increasingly common in mobile applications, and the associated privacy issues have become a hot research topic in the last years. Most of the current approaches, however, do not account for the location of potentially sensitive places and for constraints on the movement of users, such as speed limits or network contraints. In this demo we present different deployment scenarios of a privacy-preserving framework for the protection of sensitive positions in real time trajectories. We assume that the sensitivity of users' positions depends on the spatial context, while the users' movement is confined to road networks and places. Further, the users are non-anonymous, as in the case of geo-social network members who agree to share their exact position whenever it does not fall within a sensitive place, e.g. a hospital. We will show that our proposal is suitable for different classes of devices and can be integrated in different kind of location based applications.