A Novel Model-Based Reinforcement Learning for Online Anomaly Detection in Smart Power Grid

A Novel Model-Based Reinforcement Learning for Online Anomaly Detection in Smart Power Grid

Smart grids must detect cyber-attacks early to ensure their safety and reliability. There have been many outlier detection methods presented in the studies, varying from those requiring instance-by-instance decisions t the online diagnosing methods that require the use of accurate models of an attac...

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Bibliographic Details
Main Authors: Du, W. (Author), Fu, B. (Author), Wang, C. (Author), Wang, L. (Author), Wang, X. (Author), Zhu, Y. (Author)
Format: Article
Language:English
Published: Hindawi Limited 2023
Subjects:
Anomaly detection
Computer crime
Crime
Cyber-attacks
Decision procedure
Detection methods
E-learning
Learning systems
Markov decision
Model-based reinforcement learning
Network security
Online anomaly detection
On-line diagnosing
Outlier Detection
Reinforcement learning
Reinforcement learnings
Smart grid
Smart power grids
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