MORE SMART, SECURED AND PRIVACY CONCERNED PARTICIPATION IN PARTICIPATORY SENSING?

Participatory Sensing (PS) is an arising archetype that focuses on the collection of data produced from a large number of connected, always-on, always-carried mobile devices. Sensing paradigm leverages humans as part of the sensing infrastructure. PS enables the distributed collection of data by self-selected participants to share local knowledge acquired by their mobile sensor equipped devices. Hence personal information of user is conveyed by reports. Thus, a number of privacy concerns may hamper the large-scale deployment of PS applications. In PS, the targets is to provide a high level of privacy and security to data producers like users who are providing sensed information and consumers like applications that are accessing the gathered information. In this article, we focus on privacy protection in PS and introduce an acceptable privacy-enhanced infrastructure. First, we accommodate a set of privacy requirements aiming at protecting privacy for both data producers and consumers. We present here a realistic architectural instantiation that attains privacy guarantees with provable security at very low additional computational cost and almost no extra communication overhead.