Industrial Control Anomaly Detection Based on Distributed Linear Deep Learning

As more and more devices in Cyber-Physical Systems (CPS) are connected to the Internet, physical components such as programmable logic controller (PLC), sensors, and actuators are facing greater risks of network attacks, and ... | Find, read and cite all the research you need on Tech Science Press

Authors

Publication Details

Journal
Computers, materials & continua/Computers, materials & continua (Print)
Published
2024-11-22
DOI
https://doi.org/10.32604/cmc.2024.059143
Citations
2
Primary Topic
Anomaly Detection Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.69

Funders

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article

Industrial Control Anomaly Detection Based on Distributed Linear Deep Learning

Huiyong Wang, Yong Ding, Shijie Tang
2 citations
Computers, materials & continua/Computers, materials & continua (Print)
Anomaly Detection Techniques and Applications
0.69
article

Industrial Control Anomaly Detection Based on Distributed Linear Deep Learning

Huiyong Wang, Yong Ding, Shijie Tang
article en
2 citations

Abstract

As more and more devices in Cyber-Physical Systems (CPS) are connected to the Internet, physical components such as programmable logic controller (PLC), sensors, and actuators are facing greater risks of network attacks, and ... | Find, read and cite all the research you need on Tech Science Press

Computers, materials & continua/Computers, materials & continua (Print)Vol. 82(1)
National Natural Science Foundation of China, Natural Science Foundation of Guangxi Province, Singapore University of Technology and Design
Openalex Percentile: Top 23%
Anomaly Detection Techniques and Applications
0.69
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Industrial Control Anomaly Detection Based on Distributed Linear Deep Learning — Huiyong Wang, Yong Ding, et al. · Computers, materials & continua/Computers, materials & continua (Print) (2024) | TGRS Research Map | TGRS