A Sampled-Data-Based Secure Control Approach for Networked Control Systems Under Random DoS Attacks.

Area of Science:

• Control Engineering
• Networked Control Systems (NCSs)
• Cybersecurity in Control Systems

Background:

• Networked control systems (NCSs) are vulnerable to random denial of service (DoS) attacks, compromising stability.
• Existing methods for analyzing random attacks lack the ability to capture maximum attack duration.
• Understanding attack characteristics is crucial for designing robust security controllers in NCSs.

Purpose of the Study:

• To analyze H∞ stability of NCSs subjected to random DoS attacks.
• To design a sampled-data-based state feedback security controller to counteract DoS attack influences.
• To develop a framework that integrates random DoS attacks and time-varying delays within a unified model.

Main Methods:

• Introduction of a logical processor to capture the maximum duration of DoS attacks.
• Utilizing periodic sampling techniques to calculate attack occurrence probability and maximum allowable packet dropouts.
• Development of a novel networked sampled-data system model and a DoS-dependent security controller.
• Employing a Lyapunov-Krasovskii functional to establish the relationship between stability and attack characteristics.

Main Results:

• A new method for analyzing NCS stability under DoS attacks by quantifying attack duration and probability.
• Design of a state feedback controller that effectively utilizes attack information to mitigate instability.
• Demonstration of mean square asymptotic stability through a Lyapunov-Krasovskii functional approach.
• Validation of the control strategy's effectiveness in practical engineering applications.

Conclusions:

• The proposed sampled-data-based security controller effectively enhances the H∞ stability of NCSs under random DoS attacks.
• The developed framework provides a unified approach to handle both random DoS attacks and associated time-varying delays.
• The findings offer a reliable and applicable control strategy for securing NCSs against cyber-physical threats.