Security and Privacy in Cyber-Physical Systems

Chapter 3Tutorial on Information Theoretic Metrics Quantifying Privacy in Cyber-Physical Systems

Guido Dartmann¹, Mehmet Ö. Demir², Hendrik Laux³, Volker Lücken³, Naim Bajcinca⁴, Gunes K. Kurt², Gerd Ascheid³ and Martina Ziefle⁵

¹Environmental Campus Birkenfeld, University of Applied Sciences Trier, Campusallee, 55768 Hoppstädten-Weiersbach, Germany

²Faculty of Electrical and Electronics Engineering, Istanbul Technical University, 34469 Maslak, Istanbul, Turkey

³Institute for Communication Technologies and Embedded Systems, RWTH Aachen University, Templergraben 55, 52062 Aachen, Germany

⁴University of Kaiserslautern, Gottlieb-Daimler-Str. Geb. 42, 67663 Kaiserslautern, Germany

⁵Human-Computer Interaction Center, RWTH Aachen University, Campus Boulevard 57, 52074 Aachen, Germany

The Authors Dartmann and Demir equally contributed to this chapter.This work is supported in part by BMBF (01DL17008) and TUBITAK (115E827).

3.1 Social Perspective and Motivation

Privacy is a societally very relevant concept that can be formalized with mathematical tools of information theory. Today, private information about individuals is distributed in multiple databases (e.g., social networks). Even if a user cares about anonymization (no name, no address), this will not completely protect individuals from being identified. Data can be combined and linked from multiple sources, and, therefore, an individual can be reidentified. To quantify this risk, information theoretic measures are recently used ...