Enforcing Privacy in Participatory Sensing Systems

Mobile Participatory Sensing systems provide useful data gathered from mobile devices that would otherwise require expensive deployments of sensor networks. This type of data can identify participants and infer important private information. In this Ph.D. thesis, we investigate a decentralized approach assisted by Trusted Execution Environment enabled hardware to enforce the control of the participants on the usage of the collected personal data series.