Crowdsensing and privacy in smart city applications
This work tackles privacy concerns for citizens in smart cities, but it appears to be an incremental review or discussion rather than presenting new research findings.
The chapter addresses the challenge of using crowdsourced sensing for smart city applications while managing the risk of exposing participants' private information, exploring both the potential for real-time data collection and the associated privacy implications.
Smartness in smart cities is achieved by sensing phenomena of interest and using them to make smart decisions. Since the decision makers may not own all the necessary sensing infrastructures, crowdsourced sensing, can help collect important information of the city in near real-time. However, involving people brings of the risk of exposing their private information.This chapter explores crowdsensing in smart city applications and its privacy implications.