Adaptive Personalized Privacy in Participatory Sensing
The participatory sensing paradigm has interesting applications, e.g. electrosmog/air-pollution monitoring, carbon footprint estimation, etc., but raises serious privacy concerns. Existing static privacy-enabling approaches offer no privacy guarantees, while individual privacy requirements cannot be met. In this work, we propose an adaptive privacy protection scheme, in order to meet personalized locationprivacy protection requirements and experimentally prove its effectiveness against static privacy-protection schemes.