Improving Kalman filter for cyber physical systems subject to replay attacks: An attack-detection-based compensation strategy

Li, Xin; Lei, Anzhi; Zhu, Liangkuan; Ban, Mingfei

doi:10.1016/j.amc.2023.128444

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Cited by 5 publications

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Covert attacks for primary loops of PHWR nuclear power unit based on SOS-LSTM

Huang,

Cui,

Hao

et al. 2024

Control Engineering Practice

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Covert attacks for primary loops of PHWR nuclear power unit based on SOS-LSTM

Huang,

Cui,

Hao

et al. 2024

Control Engineering Practice

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Recursive state estimation for delayed complex networks with random link failures and stochastic inner coupling under cyber attacks

Qi,

Wu,

Zheng

2025

Digital Signal Processing

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The rise of the polarimetric Kalman filter: a bibliometric study on its growing significance

Obaideen,

AlShabi,

Gadsden

et al. 2024

Polarization: Measurement, Analysis, and Remote Sensing XVI

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This paper presents a comprehensive study on the evolution, applications, and impact of the Polarimetric Kalman Filter (PKF) in the fields of signal processing and remote sensing. By employing a methodological framework that integrates literature collection, screening and selection, bibliometric analysis, and synthesis, we aim to elucidate the PKF's contributions and potential research trajectories within its applications. Our findings highlight the PKF's significant role in enhancing data assimilation, improving predictive accuracy, and refining measurement techniques across various domains, particularly in meteorological research and environmental monitoring. The analysis reveals the interdisciplinary nature of PKF applications and its capability to merge theoretical advancements with practical implementations, underlining the importance of sophisticated signal processing algorithms in interpreting complex environmental data. The study also identifies emerging trends, such as the integration of PKF with machine learning and artificial intelligence, indicating future directions for research that promise to push the boundaries of current methodologies and applications. This paper underscores the PKF's pivotal role in advancing signal processing and remote sensing technologies, offering insights into its continuing development and the expanding scope of its applications.

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Improving Kalman filter for cyber physical systems subject to replay attacks: An attack-detection-based compensation strategy

Cited by 5 publications

References 32 publications

Covert attacks for primary loops of PHWR nuclear power unit based on SOS-LSTM

Covert attacks for primary loops of PHWR nuclear power unit based on SOS-LSTM

Recursive state estimation for delayed complex networks with random link failures and stochastic inner coupling under cyber attacks

The rise of the polarimetric Kalman filter: a bibliometric study on its growing significance

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