Ensemble Learning-Enabled Security Anomaly Identification for IoT Cyber–Physical Power Systems

Ensemble Learning-Enabled Security Anomaly Identification for IoT Cyber–Physical Power Systems

The public network access to smart grids has a great impact on the system‘s safe operation. With the rapid increase in Internet of Things (IoT) applications, cyber-attacks caused by multiple sources and flexible loads continue to rise, which results in equipment maloperation and security hazard prob...

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Bibliographic Details
Main Authors: Hongjun Zhao, Changjun Li, Xin Yin, Xiujun Li, Rui Zhou, Rong Fu
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Electronics
Subjects:
cyber–physical power system (CPPS)
Internet of Things (IoT) scenario
ensemble learning algorithm
analytic hierarchy process
abnormal attack behaviors
Online Access:https://www.mdpi.com/2079-9292/11/23/4043

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https://www.mdpi.com/2079-9292/11/23/4043

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