Part I: Statistical Data Privacy - 1. Fisher Information Privacy with Application to Smart Meter Privacy Using HVAC Units -- 2. Smart Meter Privacy -- 3. Privacy Against Adversarial Hypothesis Testing: Theory and Application to Smart Meter Privacy Problem -- 4. Statistical Parameter Privacy -- 5. Privacy Verification and Enforcement via Belief Manipulation -- 6. Information-Theoretic Privacy through Chaos Synchronization and Optimal Additive Noise.

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.