Graph Transformer Network Incorporating Sparse Representation for Multivariate Time Series Anomaly Detection

Cyber–physical systems (CPSs) serve as the pivotal core of Internet of Things (IoT) infrastructures, such as smart grids and intelligent transportation, deploying interconnected sensing devices to monitor operating status. With increasing decentralization, the surge in sensor devices expands the pot...

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Veröffentlicht in:	Electronics (Basel) 2024-06, Vol.13 (11), p.2032
Hauptverfasser:	Yang, Qian, Zhang, Jiaming, Zhang, Junjie, Sun, Cailing, Xie, Shanyi, Liu, Shangdong, Ji, Yimu
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analysis Anomalies Cyber-physical systems Cybersecurity Cyberterrorism Datasets Deep learning Electric transformers Forecasting Graph representations Internet of Things Learning strategies Machine learning Methods Modules Multivariate analysis Neural networks Parameter estimation Representations Sensors Smart grid Statistical models Time series Transformers
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