Optimal power allocation for multiple DoS attackers in wireless networked control systems.

Area of Science:

• Control Systems Engineering
• Network Security
• Wireless Communication

Background:

• Wireless networked control systems (WNCS) are vulnerable to denial-of-service (DoS) attacks, which disrupt signal integrity and cause packet loss.
• Multiple DoS attackers can cooperatively degrade system performance more severely than single attackers.
• Stochastic disturbances further challenge the stability and performance of WNCS.

Purpose of the Study:

• To develop an optimal power allocation strategy for multiple DoS attackers in WNCS.
• To analyze the impact of cooperative DoS attacks on WNCS performance.
• To design a robust controller ensuring optimal system performance under worst-case attack scenarios.

Main Methods:

• Formulated the multiple DoS attack scenario using cooperative game theory to maximize the attack impact.
• Designed an H∞ minimax controller to guarantee system performance under adversarial conditions.
• Employed stochastic analysis to account for system uncertainties and disturbances.

Main Results:

• The proposed power allocation strategy effectively mitigates the impact of cooperative DoS attacks.
• The H∞ minimax controller ensures robust stability and performance in the presence of maximized attacks and stochastic disturbances.
• Numerical simulations validated the effectiveness of the developed methodology.

Conclusions:

• Cooperative game theory provides a powerful framework for modeling and analyzing the worst-case effects of multiple DoS attackers.
• The optimal power allocation strategy and H∞ minimax controller offer a viable solution for enhancing the security and reliability of WNCS.
• The findings contribute to the resilience of critical infrastructure relying on WNCS against sophisticated cyber threats.