Graph Attention Network and Informer for Multivariate Time Series Anomaly Detection

Graph Attention Network and Informer for Multivariate Time Series Anomaly Detection

Time series anomaly detection is very important to ensure the security of industrial control systems (ICSs). Many algorithms have performed well in anomaly detection. However, the performance of most of these algorithms decreases sharply with the increase in feature dimension. This paper proposes an...

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Bibliographic Details
Main Authors:	Mengmeng Zhao, Haipeng Peng, Lixiang Li, Yeqing Ren
Format:	Article
Language:	English
Published:	MDPI AG 2024-02-01
Series:	Sensors
Subjects:	anomaly detection mutlivariate time series graph attention network Informer industrial control systems
Online Access:	https://www.mdpi.com/1424-8220/24/5/1522

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