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在CPPS中检测和减轻协调的网络物理攻击.

G Y Sree Varshini1, S Latha2

  • 1Research Scholar, Thiagarajar College of Engineering, Madurai 625015, India.

Heliyon
|February 29, 2024
PubMed
概括

本研究介绍了网络物理动力系统 (CPPS) 的自适应防御策略,以减轻协调的网络攻击. 一个集成基于STATCOM的自适应模型预测控制的新框架有效地增强了系统恢复和异常检测.

关键词:
适应模型预测控制器 (AMPC)卷积神经网络 (CNN) 是一种神经网络.协调的网络物理攻击 (CCPA)网络物理动力系统 (CPPS)K 最接近的邻居 (KNN)随机的森林 (RF) 随机的森林递归多项式模型估计器 (RPME)支持矢量机器 (SVM) 是一个支持矢量机器.

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