Privacy-Preserving Collaborative Path Hiding for Participatory Sensing Applications
The presence of multimodal sensors on current mobile phones enables a broad range of novel mobile applications including, e.g., monitoring noise pollution or traffic and road conditions in urban environments. Data of unprecedented quantity and quality can be collected and reported by a possible user base of billions of mobile phone subscribers worldwide. The collection of detailed sensor and location data may however compromise user privacy. In this paper, the authors present a decentralized mechanism to preserve location privacy during the collection of sensor readings. As most sensor readings are geo-tagged, they propose to exchange them between users in physical proximity in order to jumble the paths followed by the users.