Resilient Control for Wireless Cyber-Physical Systems Subject to Jamming Attacks: A Cross-Layer Dynamic Game Approach

Area of Science:

• Cyber-Physical Systems
• Control Theory
• Game Theory

Background:

• Wireless cyber-physical systems (CPSs) are vulnerable to jamming attacks, compromising their operational integrity.
• Existing control methods often overlook the complexities of cyber-layer information and physical-layer disturbances.

Purpose of the Study:

• To propose an optimal resilient control method for wireless CPSs facing jamming attacks.
• To model the strategic interactions between jammers and users in a realistic cyber environment.
• To design a controller robust to packet losses and external disturbances.

Main Methods:

• A novel cross-layer dynamic game structure integrating cyber and physical layers.
• Bayesian Stackelberg game for modeling jammer-user interactions with incomplete information.
• H-infinity optimal resilient controller design for disturbance rejection.
• Algorithm development to capture dynamic variations in CPSs under adaptive jamming strategies.

Main Results:

• The proposed method effectively models and mitigates jamming attacks in wireless CPSs.
• The Bayesian Stackelberg game accurately represents strategic cyber-layer interactions.
• The H-infinity controller demonstrates resilience against jam-induced packet losses and disturbances.
• The coupled cyber-physical design algorithm shows convergence and adaptability.

Conclusions:

• The developed optimal resilient control method enhances the security and reliability of wireless CPSs.
• The cross-layer game framework provides a robust approach to address sophisticated jamming threats.
• Numerical simulations validate the effectiveness and advantages of the proposed techniques.