RGAnomaly: Data reconstruction-based generative adversarial networks for multivariate time series anomaly detection in the Internet of Things

Cheng Qian; Wenzhong Tang; Yanyang Wang

doi:10.1016/j.future.2025.107751

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RGAnomaly: Data reconstruction-based generative adversarial networks for multivariate time series anomaly detection in the Internet of Things

Cheng Qian Wenzhong Tang Yanyang Wang

Year: 2025 Journal: Future Generation Computer Systems Vol: 167 Pages: 107751-107751 Publisher: Elsevier BV

DOI: 10.1016/j.future.2025.107751

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Keywords:

Computer science Anomaly detection Series (stratigraphy) Generative grammar Multivariate statistics Adversarial system Anomaly (physics) Internet of Things Artificial intelligence Time series Data mining Machine learning Pattern recognition (psychology) Computer security

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Topics

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

RGAnomaly: Data reconstruction-based generative adversarial networks for multivariate time series anomaly detection in the Internet of Things

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Citation History

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