Incentive mechanism with privacy-preservation on intelligent parking system utilizing mobile crowdsourcing

Abstract

With expanding of Internet of Things (IoT) devices with various sensors, mobile crowdsourcing services (or called cloud-based sensing-as-a-service (CSaaS)) are popularly growing. The participation of many users in sensing activities is very important for successful service realization. Thus, a proper incentive mechanism is necessary. However, the data sensed by personal equipment are usually sensitive to privacy, a problem that can constrain data sharing. In this paper, we propose a privacy preserved incentive mechanism for mobile crowdsourcing services, and apply it to intelligent parking system, an example of crowdsourcing service. This mechanism protects location and identity privacy for users by utilizing an on-demand incentive payment method and group signatures. We also plan to evaluate our mechanism on systems with several specifications.