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Cyber-Security Threats and Response Models in Nuclear Power PlantsMachine Learning-Based Abnormal Event Detection and Classification

Cyber-Security Threats and Response Models in Nuclear Power Plants: Machine Learning-Based... [The utilization of digital networks has improved the ease of monitoring and control and significantly optimized the operations in industrial control systems (ICSs). With the rapid growth of artificial intelligence techniques and hardware in recent years, industries are moving toward nearly or fully autonomous operation, i.e., industry 4.0, where smart machines with improved communication, control, and monitoring capabilities are introduced into ICSs. Recently, nuclear industry, where safety is of utmost importance, is migrating toward digitalization as well.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Cyber-Security Threats and Response Models in Nuclear Power PlantsMachine Learning-Based Abnormal Event Detection and Classification

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Publisher
Springer International Publishing
Copyright
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
ISBN
978-3-031-12710-6
Pages
29 –54
DOI
10.1007/978-3-031-12711-3_3
Publisher site
See Chapter on Publisher Site

Abstract

[The utilization of digital networks has improved the ease of monitoring and control and significantly optimized the operations in industrial control systems (ICSs). With the rapid growth of artificial intelligence techniques and hardware in recent years, industries are moving toward nearly or fully autonomous operation, i.e., industry 4.0, where smart machines with improved communication, control, and monitoring capabilities are introduced into ICSs. Recently, nuclear industry, where safety is of utmost importance, is migrating toward digitalization as well.]

Published: Oct 11, 2022

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