Privacy preserving platform for profitable mobile crowd sensing and users' adoption

Mobile crowd sensing enables users to collaborate in terms of data collection. In practice, end users collect data through their smart devices and then share it with other users, who find it useful. A data request consists of specific parameters such as location, time or type of data. It is published and users that can fulfill this request send corresponding data, by mainly using their smart-phone as sensing device. While this approach is an interesting alternative when it comes to data collection, it creates a significant privacy concern. In this paper a privacy preserving platform for profitable mobile crowd sensing is presented. Data encryption and bitcoin payments are employed to protect users' privacy. In order to research the users' adoption of such a solution, a survey has been conducted and the results are analyzed.