Farokhi F. (Ed.) Privacy in Dynamical Systems

Springer, 2020. — 290 p. — ISBN: 981150492X.This book addresses privacy in dynamical systems, with applications to smart metering, traffic estimation, and building management. In the first part, the book explores statistical methods for privacy preservation from the areas of differential privacy and information-theoretic privacy (e.g., using privacy metrics motivated by mutual information, relative entropy, and Fisher information) with provable guarantees. In the second part, it investigates the use of homomorphic encryption for the implementation of control laws over encrypted numbers to support the development of fully secure remote estimation and control. Chiefly intended for graduate students and researchers, the book provides an essential overview of the latest developments in privacy-aware design for dynamical systems.Fisher Information Privacy with Application to Smart Meter Privacy Using HVAC Units
Smart Meter Privacy
Privacy Against Adversarial Hypothesis Testing: Theory and Application to Smart Meter Privacy Problem
Statistical Parameter Privacy
Privacy Verification and Enforcement via Belief Manipulation
Information-Theoretic Privacy Through Chaos Synchronization and Optimal Additive Noise
Differentially Private Analysis of Transportation Data
On the Role of Cooperation in Private Multi-agent Systems
Secure Multi-party Computation for Cloud-Based Control
Comprehensive Introduction to Fully Homomorphic Encryption for Dynamic Feedback Controller via LWE-Based Cryptosystem
Encrypted Model Predictive Control in the Cloud
Encrypted Control Using Multiplicative Homomorphic Encryption