Performance Degradation Estimation Mechanisms for Networked Control Systems Under DoS Attacks and its Application to...

Area of Science:

• Computer Science
• Control Systems Engineering
• Network Security

Background:

• Networked control systems (NCSs) are vulnerable to denial-of-service (DoS) attacks targeting the TCP/IP protocol.
• DoS attacks exploit the three-way handshake, causing data loss and system performance degradation.
• Estimating this performance degradation is crucial for maintaining NCS functionality.

Purpose of the Study:

• To develop a method for estimating system performance degradation in NCSs caused by DoS attacks.
• To introduce novel control algorithms for optimizing system performance under network constraints.

Main Methods:

• Formulated the problem as an ellipsoid-constrained performance error estimation (PEE) problem.
• Proposed a new Lyapunov-Krasovskii function (LKF) using fractional weight segmentation method (FWSM).
• Introduced relaxed positive definite constraints and an alternate direction algorithm (ADA) for controller optimization and threshold determination.
• Designed an integral-based event-triggered controller (IETC).

Main Results:

• Successfully estimated system performance degradation caused by DoS attacks.
• Optimized control algorithms by reducing initial constraints.
• Verified the proposed method's effectiveness on an autonomous ground vehicle (AGV) model using Simulink.

Conclusions:

• The proposed LKF and IETC effectively estimate performance degradation in NCSs under DoS attacks.
• The method enhances the resilience of NCSs against network-based security threats.
• Validated through simulation on an AGV model, demonstrating practical feasibility.