Event-triggering control scheme for discrete time Cyberphysical Systems in the presence of simultaneous hybrid stochastic attacks

Hamdan, Mutaz M.; Mahmoud, Magdi S.; Baroudi, Uthman

doi:10.1016/j.isatra.2021.04.027

Cited by 22 publications

(8 citation statements)

References 33 publications

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“…Applying Schur complement lemma to (16), it is clear that Ω + Π T 2 PΠ 2 < 0. Substituting Ω + Π T 2 PΠ 2 < 0 and (8) into (24), one has…”

Section: Resultsmentioning

confidence: 99%

“…Specifcally, the availability and integrity performance of the modern system information is at serious risk, as testifed by several example incidents. For instance, the Iran nuclear program has been attacked by the Stuxnet virus in 2010, and the Ukrainian power grid has been attacked by the Black-Energy 3 virus in 2015 [16]. Generally speaking, according to the type of physical implementation, cyber-attacks can be broadly classifed into false data injection (FDI) attacks [4,17,18], replay attacks [19,20], and denial of service (DoS) attacks [21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

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Intermittent Control for Synchronization of Discrete-Delayed Complex Cyber-Physical Networks under Mixed Attacks

Zhu

Jia

Zhang

2022

Journal of Control Science and Engineering

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This paper is concerned with the synchronization control problem for discrete-delayed complex cyber-physical networks under mixed attacks. To handle input delays and mixed attacks, the intermittent control mechanism is employed, which is distinctly different from the traditional control method. By utilizing the Lyapunov stability theorem, a novel synchronization control method is developed for the synchronization control of complex cyber-physical networks with mixed attacks. Then, sufficient conditions are derived to guarantee that the synchronization error dynamics are ultimately bounded. Moreover, the conditions for a special case where the absence of input delays. Subsequently, certain optimization problems are formulated with the aim to minimize the synchronization error. Finally, two numerical examples are given to verify the effectiveness and superiority of the proposed synchronization control strategy.

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“…Applying Schur complement lemma to (16), it is clear that Ω + Π T 2 PΠ 2 < 0. Substituting Ω + Π T 2 PΠ 2 < 0 and (8) into (24), one has…”

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Intermittent Control for Synchronization of Discrete-Delayed Complex Cyber-Physical Networks under Mixed Attacks

Zhu

Jia

Zhang

2022

Journal of Control Science and Engineering

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“…Cyber attacks can be roughly divided into denial of service (DoS) attacks 10,11 and deception attacks. 12,13 Different from DoS attacks, which prevent data transmission by maliciously consuming computing or communication resources, deception attacks degrade system performance by tampering with the transmitted data. Fake data injection (FDI) attacks 14 are considered as a typical deception attacks and have been widely studied.…”

Section: Introductionmentioning

confidence: 99%

Finite time secure state estimation for linear cyber‐physical systems with actuator and sensor attacks

Liu

Ren

Fang

et al. 2023

Intl J Robust & Nonlinear

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This manuscript studies the problem of secure state estimation (SSE) for a class of linear discrete cyber-physical systems (CPSs) considered with output disturbances, actuator, and sensor attacks. The disturbances and attacks considered are unbounded. A finite time SSE (FTSSE) method is designed to realize SSE for CPSs in a predetermined finite time. First, a finite time observer is designed to implement the FTSSE for CPSs with actuator attacks and output disturbances. After that, the FTSSE method for CPSs with simultaneous sensor attacks is proposed by extending the designed finite time observer. The necessary conditions for the existence of the proposed FTSSE method are given, and its effectiveness is analyzed theoretically. In addition, the simultaneous estimation of disturbance and attack can be achieved by the designed estimator when the system satisfies some given conditions. Finally, the effectiveness of the designed method is verified by a simulation experiment.

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“…The security control of state‐dependent uncertain systems under hybrid network attacks is studied in Liu et al [28], and in order to reduce the impact of hybrid network attacks,

{H}_{\infty }

filters are designed to ensure the stability of the system. In Liu et al [29] and Mmh et al [30], the security control problem under hybrid network attack is studied for linear systems. How to design an effective event trigger mechanism to save network resources under the hybrid network attack is studied in the literature [31, 32].…”

Section: Introductionmentioning

confidence: 99%

Resilient iterative learning control for a class of discrete‐time nonlinear systems under hybrid attacks

Zhao

Yin

2022

Asian Journal of Control

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The security control problem for a class of unknown nonlinear systems is considered in this paper. For the nonlinear system running in the network environment, the measurement channel is subjected to hybrid attacks. Intermittent denial of service attacks and false data injection attacks are modeled as the hybrid attacks. According to the characteristics of the repetitive system, a resilient iterative learning control (ILC) algorithm under hybrid attacks is devised. Subsequently, the stability of the system is proved by mathematical derivation and theoretical analysis in the sense of mathematical expectation. The theoretical analysis results indicate that the resilient ILC algorithm can ensure the stability of the system, and the tracking error converges with the increased number of iterations. Finally, the validity of the algorithm is illustrated by numerical simulation and mobile robot simulation.

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Event-triggering control scheme for discrete time Cyberphysical Systems in the presence of simultaneous hybrid stochastic attacks

Cited by 22 publications

References 33 publications

Intermittent Control for Synchronization of Discrete-Delayed Complex Cyber-Physical Networks under Mixed Attacks

Intermittent Control for Synchronization of Discrete-Delayed Complex Cyber-Physical Networks under Mixed Attacks

Finite time secure state estimation for linear cyber‐physical systems with actuator and sensor attacks

Resilient iterative learning control for a class of discrete‐time nonlinear systems under hybrid attacks

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