Communication Security and Stability in NNCSs: Realistic DoS Attacks Model and ISTA-Supervised Adaptive Event-Triggered Controller Design

This article addresses the challenge of achieving asymptotic stability in nonlinear networked control systems (NNCSs) amid denial-of-service (DoS) attacks, particularly under constrained communication resources. We begin by establishing a practical DoS attack model using the NSL-KDD dataset, which provides a realistic depiction of DoS attack dynamics based on real-world data. We then introduce the iterative shrinkage-thresholding algorithm (ISTA) to supervise the adaptive event-triggered controller (AETC), ensuring that system parameters are adjusted effectively while conserving communication resources. We develop an enhanced data compression mechanism to further mitigate the impact of DoS attacks on communication servers. Additionally, we construct an asymmetric Lyapunov-Krasovskii function (LKF) to rigorously verify the asymptotic stability of NNCSs. Finally, we empirically validate the effectiveness of our proposed AETC using an autonomous vehicle (AV) model.

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Publication Details

Journal
IEEE Transactions on Cybernetics
Published
2024-12-03
DOI
https://doi.org/10.1109/tcyb.2024.3494774
Citations
6
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
2.09

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article

Communication Security and Stability in NNCSs: Realistic DoS Attacks Model and ISTA-Supervised Adaptive Event-Triggered Controller Design

Shiping Wen, Kaibo Shi, Cheng Qiao, Zhihong Tian et al.
6 citations
IEEE Transactions on Cybernetics
Network Security and Intrusion Detection
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article

Communication Security and Stability in NNCSs: Realistic DoS Attacks Model and ISTA-Supervised Adaptive Event-Triggered Controller Design

Shiping Wen, Kaibo Shi, Cheng Qiao, Zhihong Tian, Xiao Cai, Yanbin Sun, Huaicheng Yan
article en
6 citations

Abstract

This article addresses the challenge of achieving asymptotic stability in nonlinear networked control systems (NNCSs) amid denial-of-service (DoS) attacks, particularly under constrained communication resources. We begin by establishing a practical DoS attack model using the NSL-KDD dataset, which provides a realistic depiction of DoS attack dynamics based on real-world data. We then introduce the iterative shrinkage-thresholding algorithm (ISTA) to supervise the adaptive event-triggered controller (AETC), ensuring that system parameters are adjusted effectively while conserving communication resources. We develop an enhanced data compression mechanism to further mitigate the impact of DoS attacks on communication servers. Additionally, we construct an asymmetric Lyapunov-Krasovskii function (LKF) to rigorously verify the asymptotic stability of NNCSs. Finally, we empirically validate the effectiveness of our proposed AETC using an autonomous vehicle (AV) model.

IEEE Transactions on CyberneticsVol. 55(2)
University of Technology Sydney (AU), East China University of Science and Technology (CN), Guangzhou University (CN), Chengdu University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, National Postdoctoral Program for Innovative Talents, National Key Research and Development Program of China, Basic and Applied Basic Research Foundation of Guangdong Province
Climate action
Openalex Percentile: Top 12%
Network Security and Intrusion Detection
2.09
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