Dual-terminal event triggered control for cyber-physical systems under false data injection attacks

Wang, Zhiwen; Xu, Xiangnan; Sun, Hongtao; Li, Long

doi:10.14736/kyb-2020-2-0323

Cited by 2 publications

(2 citation statements)

References 29 publications

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“…In ref. [14], the authors studied the safety issue of the event‐triggered control for a resource‐constrained cyber‐ physical system under dual terminal time‐lapses and energy‐limited FDI attacks. In ref.…”

Section: Introductionmentioning

confidence: 99%

Toward Optimal False Data Injection Attack against Self‐Triggered Model Predictive Controllers

2022

Advcd Theory and Sims

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This paper is aimed at exploring the optimal false data injection (FDI) attack against continuous time self-triggered model predictive control (STMPC) systems with sample-and-hold input signals to address the potential security defects. First, the mathematical model of FDI attack against the considered STMPC system is established. Then, the difference between the states of the nominal system and the attacked system is explicitly calculated such that the impact of FDI attacks on the STMPC systems can be quantitatively analyzed. And finally, an efficient and effective algorithm to realize the desired FDI attack is proposed, and in order to maintain the flexibility of the attacker, the designed FDI attack algorithm is developed under different attacking scenarios, including attacking a single control node at each sampling time and attacking multiple control nodes each time. Finally, two simulation experiments are carried out based on a robot system and a cart-damper-spring system to verify the efficacy and optimality of the designed FDI attack strategy.

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Section: Introductionmentioning

confidence: 99%

Toward Optimal False Data Injection Attack against Self‐Triggered Model Predictive Controllers

2022

Advcd Theory and Sims

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“…The authors discussed a variety of intriguing outcomes relating to deception attacks and the most serious danger to network security, such as deception attacks [33], denial-of-service (DoS) attacks [34]- [36] and zero-dynamics attacks [37,38]. DoS attacks are designed to stifle communication, so filtering issues with the impact of various cyber-attacks have gotten a lot of attention [39]- [44]. Periodic DoS jamming attacks were investigated in [45].…”

Section: Introductionmentioning

confidence: 99%

Adaptive event-triggered control for Markov jump systems under hybrid cyber-attacks and its application

Ali

Rajchakit

et al. 2022

Preprint

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This article investigates event-triggered control (ETC) of discrete-time Markov jump systems (MJSs) subject to hybrid cyber-attacks and unmeasured states. To reduce data transmission load, a mode-dependent event-triggered mechanism (ETM) has been developed. The unmeasured states are estimated using a Luenberger observer. Here deception attacks and DoS attacks are addressed. It is anticipated that input control signals sent across a network are vulnerable to cyber-attacks, in which adversaries could inject fake data into the control signals. So to secure the closed-loop system, sufficient conditions are derived. The solution of set matrix inequalities is used to build observer and controller gains. Finally, inverted pendulum applications are presented to illustrate the effectiveness and feasibility of the obtained theoretical results.

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Dual-terminal event triggered control for cyber-physical systems under false data injection attacks

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Cited by 2 publications

References 29 publications

Toward Optimal False Data Injection Attack against Self‐Triggered Model Predictive Controllers

Toward Optimal False Data Injection Attack against Self‐Triggered Model Predictive Controllers

Adaptive event-triggered control for Markov jump systems under hybrid cyber-attacks and its application

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