Privacy-by-Design for Cyber-Physical Systems

Open Access
Author:
Description:
It is envisioned that future cyber-physical systems will provide a more convenient living and working environment. However, such systems need inevitably to collect and process privacy-sensitive information. That means the benefits come with potential privacy leakage risks. Nowadays, this privacy issue receives more attention as a legal requirement of the EU General Data Protection Regulation. In this thesis, privacy-by-design approaches are studied where privacy enhancement is realized through taking privacy into account in the physical layer design. This work focuses in particular on cyber-physical systems namely sensor networks and smart grids. Physical-layer performance and privacy leakage risk are assessed by hypothesis testing measures. First, a sensor network in the presence of an informed eavesdropper is considered. Extended from the traditional hypothesis testing problems, novel privacy-preserving distributed hypothesis testing problems are formulated. The optimality of deterministic likelihood-based test is discussed. It is shown that the optimality of deterministic likelihood-based test does not always hold for an intercepted remote decision maker and an optimal randomized decision strategy is completely characterized by the privacy-preserving condition. These characteristics are helpful to simplify the person-by-person optimization algorithms to design optimal privacy-preserving hypothesis testing networks. Smart meter privacy becomes a significant issue in the development of smart grid technology. An innovative scheme is to exploit renewable energy supplies or an energy storage at a consumer to manipulate meter readings from actual energy demands to enhance the privacy. Based on proposed asymptotic hypothesis testing measures of privacy leakage, it is shown that the optimal privacy-preserving performance can be characterized by a Kullback-Leibler divergence rate or a Chernoff information rate in the presence of renewable energy supplies. When an energy storage is used, its finite capacity introduces ...
Publisher:
KTH, ACCESS Linnaeus Centre ; KTH, Teknisk informationsvetenskap
Year of Publication:
2017
Document Type:
Doctoral thesis, monograph ; info:eu-repo/semantics/doctoralThesis ; text ; [Doctoral and postdoctoral thesis]
Language:
eng
Subjects:
cyber-physical system ; hypothesis testing ; information theory ; Markov decision process ; privacy ; Signal Processing ; Signalbehandling ; Communication Systems ; Kommunikationssystem ; Other Electrical Engineering ; Electronic Engineering ; Information Engineering ; Annan elektroteknik och elektronik
DDC:
005 Computer programming, programs & data (computed)
Rights:
info:eu-repo/semantics/openAccess
Relations:
TRITA-EE, 1653-5146 ; 2017:057
URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-211908
Content Provider:
Kungliga Tekniska Högskolan, Stockholm: KTHs Publikationsdatabas DiVA
Further nameRoyal Institute of Technology, Stockholm: KTHs Publication Database DiVA  Flag of Sweden