Visible to the public Adaptive Control for Security and Resilience of Networked Cyber-Physical Systems: Where Are We?

TitleAdaptive Control for Security and Resilience of Networked Cyber-Physical Systems: Where Are We?
Publication TypeConference Paper
Year of Publication2022
AuthorsHalabi, Talal, Haque, Israat, Karimipour, Hadis
Conference Name2022 IEEE 4th International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (TPS-ISA)
Keywordsactuators, adaptive control, control theory, CPS, Cyber-physical systems, deception attacks, False Data Injection, Human Behavior, human factors, Intelligent systems, pubcrawl, resilience, Resiliency, Scalability, security, Stability analysis, Wireless communication
Abstract

Cyber-Physical Systems (CPSs), a class of complex intelligent systems, are considered the backbone of Industry 4.0. They aim to achieve large-scale, networked control of dynamical systems and processes such as electricity and gas distribution networks and deliver pervasive information services by combining state-of-the-art computing, communication, and control technologies. However, CPSs are often highly nonlinear and uncertain, and their intrinsic reliance on open communication platforms increases their vulnerability to security threats, which entails additional challenges to conventional control design approaches. Indeed, sensor measurements and control command signals, whose integrity plays a critical role in correct controller design, may be interrupted or falsely modified when broadcasted on wireless communication channels due to cyber attacks. This can have a catastrophic impact on CPS performance. In this paper, we first conduct a thorough analysis of recently developed secure and resilient control approaches leveraging the solid foundations of adaptive control theory to achieve security and resilience in networked CPSs against sensor and actuator attacks. Then, we discuss the limitations of current adaptive control strategies and present several future research directions in this field.

DOI10.1109/TPS-ISA56441.2022.00037
Citation Keyhalabi_adaptive_2022