Tutorial on Information Theoretic Metrics Quantifying Privacy in Cyber‐Physical Systems

We present future scenarios for privacy attacks in CPS, which motivate the development of novel system concepts. Especially in Smart Cities, the acquired sensor data is privacy‐critical. In addition, theoretical foundations are given to quantify privacy. The topics security and privacy are related but not identical. In both security and secrecy, it is desired to avoid reception of information by an eavesdropper. Privacy desires safety of individual (private) information while providing a benefit through an analysis of revealed data. In this chapter, we present a tutorial on information theory and privacy metrics to quantify the privacy in an urban city scenario. We discuss possible attacks on mobility traces and the metrics in a first simple anonymization approach based on
$k$
‐anonymity to avoid the reidentification of individuals in a Smart City scenario.