Abstract

Participatory Sensing combines the ubiquity of mobile phones with the sensing capabilities of Wireless Sensor Networks. It targets the pervasive collection of information, e.g., temperature, traffic conditions, or medical data. Users produce measurements from their mobile devices, thus, a number of privacy concerns—due to the personal information conveyed by reports—may hinder the large-scale deployment of participatory sensing applications. Prior work has attempted to protect privacy in participatory sensing, but it relied on unrealistic assumptions and achieved no provably-secure guarantees.

In this paper, we introduce PEPSI : Privacy-Enhanced Participatory Sensing Infrastructure. We explore realistic architectural assumptions and a minimal set of formal requirements aiming at protecting privacy of both data producers and consumers. We also present an instantiation that attains privacy guarantees with provable security at very low additional computational cost and almost no extra communication overhead. Finally, we highlight some problems that call for further research in this developing area.