An enhanced abnormal information expression spatiotemporal model for anomaly detection in multivariate time-series

An enhanced abnormal information expression spatiotemporal model for anomaly detection in multivariate time-series

Abstract The detection of anomalies in high-dimensional time-series has always played a crucial role in the domain of system security. Recently, with rapid advancements in transformer model and graph neural network (GNN) technologies, spatiotemporal modeling approaches for anomaly detection tasks ha...

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Bibliographic Details
Main Authors: Di Ge, Yuhang Cheng, Shuangshuang Cao, Yanmei Ma, Yanwen Wu
Format: Article
Language:English
Published: Springer 2024-01-01
Series:Complex & Intelligent Systems
Subjects:
Anomaly detection
Multivariate time-series
Spatiotemporal
Abnormal information expression
Graph contrastive learning
Online Access:https://doi.org/10.1007/s40747-023-01306-x

Internet

https://doi.org/10.1007/s40747-023-01306-x

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