Communication Security and Stability in NNCSs: Realistic DoS Attacks Model and ISTA-Supervised Adaptive...

Area of Science:

• Control Engineering
• Cybersecurity
• Networked Systems

Background:

• Nonlinear networked control systems (NNCSs) face stability challenges due to denial-of-service (DoS) attacks.
• Constrained communication resources exacerbate vulnerabilities in NNCSs under attack.
• Realistic DoS attack modeling is crucial for developing robust control strategies.

Purpose of the Study:

• To develop a resilient control strategy for NNCSs against DoS attacks under limited communication bandwidth.
• To ensure asymptotic stability of NNCSs despite cyber-attacks.
• To conserve communication resources while maintaining system performance.

Main Methods:

• Established a practical DoS attack model using the NSL-KDD dataset.
• Introduced an iterative shrinkage-thresholding algorithm (ISTA) for adaptive event-triggered control (AETC).
• Developed an enhanced data compression mechanism and an asymmetric Lyapunov-Krasovskii function (LKF) for stability analysis.

Main Results:

• The proposed AETC effectively adjusted system parameters, conserving communication resources.
• The enhanced data compression mitigated DoS attack impacts on communication servers.
• Asymptotic stability of the NNCS was rigorously verified using the LKF.

Conclusions:

• The proposed AETC demonstrates effectiveness in maintaining NNCS stability under DoS attacks.
• The integrated approach of AETC, data compression, and LKF offers a robust solution for secure NNCS.
• Empirical validation on an autonomous vehicle model confirms the practical applicability of the developed control strategy.