Cyberattack Strategies Against Cyber-Physical Systems: From a Control Perspective
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Beschreibung
This book mainly focuses on the key technologies and important issues related to cyberattack strategy design against cyber-physical systems from the perspective of the attacker. Chapter 1 introduces the concept of cyber-physical systems, the significance of their cybersecurity, and research progress both domestically and internationally. Chapters 2–8 present research results on DoS attacks and FDI attacks under model-based, data-driven, time-varying delay, and game-based scenarios. This book demonstrates the effectiveness and superiority of the theoretical methods through simulation and physical examples. This provides defenders with insights into attack behaviors while establishing a theoretical foundation for developing more robust defense mechanisms.
This book mainly focuses on the key technologies and important issues related to cyberattack strategy design against cyber-physical systems from the perspective of the attacker. Chapter 1 introduces the concept of cyber-physical systems, the significance of their cybersecurity, and research progress both domestically and internationally. Chapters 2–8 present research results on DoS attacks and FDI attacks under model-based, data-driven, time-varying delay, and game-based scenarios. This book demonstrates the effectiveness and superiority of the theoretical methods through simulation and physical examples. This provides defenders with insights into attack behaviors while establishing a theoretical foundation for developing more robust defense mechanisms.
Explores the development of DoS and FDI attack strategies from a control viewpoint Investigates DoS and FDI attack methods across diverse CPS tasks and applications Introduces new methods for DoS and FDI attack games using optimization techniques
Autor*in
Sheng Gao
Themen in »Cyberattack Strategies Against Cyber-Physical Systems: From a Control Perspective«
Cyber-physical systems Cybersecurity DoS attack FDI Attack Unmanned systems Intelligence control Game Data-driven Iterative learning Optimization