Crowdsensing and privacy in smart city applications

TL;DR

This paper explores how crowdsourced sensing in smart cities enables real-time data collection for smart decision-making while addressing the privacy risks involved in involving citizens.

Contribution

It provides an analysis of crowdsensing applications in smart cities and discusses privacy challenges and implications.

Findings

Crowdsensing enhances real-time data collection in smart cities.

Privacy risks are significant when involving citizen data.

Strategies for privacy preservation are essential in crowdsensing applications.

Abstract

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.