Stabilization and Data-Rate Condition for Stability of Networked Control Systems With Denial-of-Service Attacks

Liu, Guopin; Chen, Hua; Liu, Peter; Xu, Hongshuang; Guan, Xinping

doi:10.1109/tcyb.2020.2970415

Cited by 35 publications

(15 citation statements)

References 27 publications

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“…For the simultaneous consideration of data-rate constraints and DoS attacks, a few recent works have been done for centralized systems [21][22][23][24][25], and multi-agent systems [26]. In [21], a dynamic encoding scheme was developed, and sufficient conditions on DoS frequency and duration for exponential state convergence were obtained.…”

Section: A Literature Reviewmentioning

confidence: 99%

“…In [21], a dynamic encoding scheme was developed, and sufficient conditions on DoS frequency and duration for exponential state convergence were obtained. In [22,23], the trade-off between system resilience against DoS attacks and data-rate was analyzed, in which the data-rate conditions are dependent on the plant state matrix, and DoS frequency and duration. In [24], the input-to-state stability (ISS) of linear systems with quantized state measurements under external disturbances and DoS attacks was studied.…”

Section: A Literature Reviewmentioning

confidence: 99%

“…On one hand, it still lacks a solution to the quantized consensus problem of general uncertain nonlinear multi-agent systems under data-rate constraints and DoS attacks. The approaches in [21][22][23][24][25][26] are for certain linear systems. However, most practical control systems are inherently uncertain and nonlinear [27,28].…”

Section: A Literature Reviewmentioning

confidence: 99%

“…On the other hand, it is assumed that the transmission is acknowledgement-based and free of delay. That is, the receivers send acknowledgments to the transmitters immediately if they receive encoded signals successfully [21][22][23][24][25][26]. From a communication point of view, this can be realized by requiring that the acknowledgments are sent by a more powerful source.…”

Section: Problem Formulationmentioning

confidence: 99%

See 3 more Smart Citations

Quantized Consensus under Data-Rate Constraints and DoS Attacks: A Zooming-In and Holding Approach

Ran¹,

Feng²,

Li³

et al. 2022

Preprint

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This paper is concerned with the quantized consensus problem for uncertain nonlinear multi-agent systems under data-rate constraints and Denial-of-Service (DoS) attacks. The agents are modeled in strict-feedback form with unknown nonlinear dynamics and external disturbance. Extended state observers (ESOs) are leveraged to estimate agents' total uncertainties along with their states. To mitigate the effects of DoS attacks, a novel dynamic quantization with zooming-in and holding capabilities is proposed. The idea is to zoom-in and hold the variable to be quantized if the system is in the absence and presence of DoS attacks, respectively. The control protocol is given in terms of the outputs of the ESOs and the dynamic-quantization-based encoders and decoders. We show that, for a connected undirected network, the developed control protocol is capable of handling any DoS attacks inducing bounded consecutive packet losses with merely 3-level quantization. The application of the zooming-in and holding approach to known linear multi-agent systems is also discussed.

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Section: A Literature Reviewmentioning

confidence: 99%

Section: A Literature Reviewmentioning

confidence: 99%

Section: A Literature Reviewmentioning

confidence: 99%

Section: Problem Formulationmentioning

confidence: 99%

See 2 more Smart Citations

Quantized Consensus under Data-Rate Constraints and DoS Attacks: A Zooming-In and Holding Approach

Ran¹,

Feng²,

Li³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…The trade-off between system resilience against DoS attacks and data-rate was analyzed in [28]. The minimum data-rate for stabilizing a centralized system and a multi-agent system were derived in [29] and [30], respectively. Capitalizing on the zooming-in and -out method, the work [31] designed a resilient output encoding scheme for systems whose output channel is subject to DoS attacks and limited data-rate.…”

mentioning

confidence: 99%

Resilient Control under Quantization and Denial-of-Service: Co-designing a Deadbeat Controller and Transmission Protocol

Liu,

Sun,

Wang

et al. 2021

Preprint

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This paper is concerned with the problem of stabilizing continuous-time linear time-invariant systems subject to quantization and Denial-of-Service (DoS) attacks. In this context, two DoS-induced challenges emerge with the design of resilient encoding schemes, namely, the coupling between encoding strategies of different signals, and the synchronization between the encoder and decoder. To address these challenges, a novel structure that is equipped with a deadbeat controller as well as a delicate transmission protocol for the input and output channels, co-designed leveraging the controllability index, is put forward. When both input and output channels are subject to DoS attacks and quantization, the proposed structure is shown able to decouple the encoding schemes for input, output, and estimated output signals. This property is further corroborated by designing encoding schemes as well as conditions that ensure exponential stability of the closed-loop system. On the other hand, when only the output channel is subject to network phenomenon, the proposed structure can achieve exponential stabilization without acknowledgment (ACK) signals, in contrast to existing ACK-based results. Finally, a numerical example is given to demonstrate the practical merits of the proposed approach as well as the theory.Index terms-Denial-of-Service attacks, quantization, deadbeat control, acknowledgment-free protocol. I. INTRODUCTIONDriven by recent advances in computing, communication, and networking technologies, modern engineering systems (e.g., [1]-[3]) have gradually shifted their computing and control workload to the cloud, and even edge with data transmitted over wired or wireless networks. Despite their flexibility, such network-based control systems (a.k.a., networked control systems) are known vulnerable to cyber threats [4], [5]. In fact, existing works have shown that malicious attacks can severely disrupt the control performance and even render the system

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Dynamic quantization‐driven stability of networked control systems under DoS attacks

Li,

Zhang,

Sun

et al. 2023

Intl J Robust & Nonlinear

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This paper focuses on the stability problem of networked control systems (NCSs) under denial‐of‐service (DoS) attacks and bandwidth limitation. Firstly, the periodic dynamic quantization mechanism is extended to insecure systems, and a periodic‐like quantization strategy is proposed. Due to the designable period, such mechanism allows a trade‐off between better system performance and less energy consumption. With finite quantization levels, a reasonable parametric design is given to avoid quantizer saturation under general energy‐constrained DoS attacks. Secondly, a suitable quantized controller is designed for the system affected by DoS attacks. The relationship between the quantized controller and the DoS attacks is analyzed, and the criterion for NCSs achieving global asymptotic stability is derived. Finally, two numerical examples are given to verify the correctness of the theoretical result.

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Stabilization and Data-Rate Condition for Stability of Networked Control Systems With Denial-of-Service Attacks

Cited by 35 publications

References 27 publications

Quantized Consensus under Data-Rate Constraints and DoS Attacks: A Zooming-In and Holding Approach

Quantized Consensus under Data-Rate Constraints and DoS Attacks: A Zooming-In and Holding Approach

Resilient Control under Quantization and Denial-of-Service: Co-designing a Deadbeat Controller and Transmission Protocol

Dynamic quantization‐driven stability of networked control systems under DoS attacks

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