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神经网络控制系统中的通信安全与稳定性:现实的拒绝服务攻击模型及ISTA监督的自适应事件触发控制器设计

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

作者信息

Cai Xiao, Sun Yanbin, Shi Kaibo, Yan Huaicheng, Wen Shiping, Cheng Qiao, Tian Zhihong

出版信息

IEEE Trans Cybern. 2024 Dec 3;PP. doi: 10.1109/TCYB.2024.3494774.

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.

摘要

本文探讨了在拒绝服务(DoS)攻击情况下,特别是在通信资源受限的条件下,实现非线性网络控制系统(NNCSs)渐近稳定性的挑战。我们首先使用NSL-KDD数据集建立了一个实际的DoS攻击模型,该数据集基于真实世界数据对DoS攻击动态进行了现实描述。然后,我们引入迭代收缩阈值算法(ISTA)来监督自适应事件触发控制器(AETC),确保在节省通信资源的同时有效调整系统参数。我们开发了一种增强的数据压缩机制,以进一步减轻DoS攻击对通信服务器的影响。此外,我们构建了一个非对称Lyapunov-Krasovskii函数(LKF),以严格验证NNCSs的渐近稳定性。最后,我们使用自动驾驶车辆(AV)模型通过实验验证了我们提出的AETC的有效性。

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