Cyber-Physical Systems With Multiple Denial-of-Service Attackers: A Game-Theoretic Framework

Huang, Yabing; Zhao, Jun

doi:10.1109/tcsi.2021.3098335

Cited by 17 publications

(2 citation statements)

References 44 publications

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“…CPS has become one close coupling and collaboration between computing resources and physical resources, which makes the system more adaptive, autonomous, reliable, and available [2]. Although the cyber-physical system stability has been widely studied, almost scholars focus more on system stability with communication time delay or attack [3]- [4]. However, the stability analysis of cyber-physical systems without communication network is still blank.…”

Section: Introductionmentioning

confidence: 99%

Stability-Oriented Minimum Switching/Sampling Frequency for Cyber-Physical Systems: Grid-Connected Inverters Under Weak Grid

Wang

Sun

Zhang

et al. 2022

IEEE Trans. Circuits Syst. I

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Although the cyber-physical system stability is widely studied, scholars focus more on system stability with communication time delay. Therein, grid-connected inverters with the digital control system are regarded as one simplest and typical cyber-physical system. Meanwhile, the switching/sampling frequency of the inverter is always selected as low as possible from an efficiency viewpoint, resulting in unavoidable delay time. This delay time is apt to cause the system instability, which is more prone to severity under weak grid. To this end, this paper provides a minimum switching/sampling frequency for grid-connected inverters. Firstly, the system impedance model with equivalent delay time is constructed, which is based on padé approximate approach. This equivalent delay time consists of three parts, i.e., sampling delay time in cyber/physical level, calculation delay time in cyber level and pulsewidth modulation delay time in physical level, which reflects the cyber-physical interaction impact. Furthermore, the stability forbidden criterion is applied to make the switching/sampling frequency solving process become Hurwitz matrix identification problem through space mappings. Based on these space mappings, an adaptive step search approach is adopted to obtain the minimum switching/sampling frequency. Finally, the proposed approach can well evaluate the system stability under different frequencies through simulation and experiment.

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Section: Introductionmentioning

confidence: 99%

Stability-Oriented Minimum Switching/Sampling Frequency for Cyber-Physical Systems: Grid-Connected Inverters Under Weak Grid

Wang

Sun

Zhang

et al. 2022

IEEE Trans. Circuits Syst. I

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“…The study in [21] considered the remote state estimation problem of CPS under DoS attack based on signal-to-interference-plus-noise ratio using the two-player game method. In [22], a static cooperative game was formulated for the collaboration among multiple DoS attackers, while a non-cooperative game described the competition among the multiple controllers. On the basis of above research, this paper addresses the issue within the unified framework from three different perspectives to develop a universal solution.…”

Section: Introductionmentioning

confidence: 99%

Secure State Estimation of Cyber-Physical System under Cyber Attacks: Q-Learning vs. SARSA

Jin

Zhang

et al. 2022

Electronics

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This paper proposes a reinforcement learning (RL) algorithm for the security problem of state estimation of cyber-physical system (CPS) under denial-of-service (DoS) attacks. The security of CPS will inevitably decline when faced with malicious cyber attacks. In order to analyze the impact of cyber attacks on CPS performance, a Kalman filter, as an adaptive state estimation technology, is combined with an RL method to evaluate the issue of system security, where estimation performance is adopted as an evaluation criterion. Then, the transition of estimation error covariance under a DoS attack is described as a Markov decision process, and the RL algorithm could be applied to resolve the optimal countermeasures. Meanwhile, the interactive combat between defender and attacker could be regarded as a two-player zero-sum game, where the Nash equilibrium policy exists but needs to be solved. Considering the energy constraints, the action selection of both sides will be restricted by setting certain cost functions. The proposed RL approach is designed from three different perspectives, including the defender, the attacker and the interactive game of two opposite sides. In addition, the framework of Q-learning and state–action–reward–state–action (SARSA) methods are investigated separately in this paper to analyze the influence of different RL algorithms. The results show that both algorithms obtain the corresponding optimal policy and the Nash equilibrium policy of the zero-sum interactive game. Through comparative analysis of two algorithms, it is verified that the differences between Q-Learning and SARSA could be applied effectively into the secure state estimation in CPS.

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Stability and consistency for networked multiagent systems with double-Layered game under multiple DoS attacks

Yan

Yang

et al. 2023

Applied Mathematics and Computation

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Cyber-Physical Systems With Multiple Denial-of-Service Attackers: A Game-Theoretic Framework

Cited by 17 publications

References 44 publications

Stability-Oriented Minimum Switching/Sampling Frequency for Cyber-Physical Systems: Grid-Connected Inverters Under Weak Grid

Stability-Oriented Minimum Switching/Sampling Frequency for Cyber-Physical Systems: Grid-Connected Inverters Under Weak Grid

Secure State Estimation of Cyber-Physical System under Cyber Attacks: Q-Learning vs. SARSA

Stability and consistency for networked multiagent systems with double-Layered game under multiple DoS attacks

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