Robust Anomaly Detection of Multivariate Time Series Data via Adversarial Graph Attention BiGRU

Robust Anomaly Detection of Multivariate Time Series Data via Adversarial Graph Attention BiGRU

Multivariate time series data (MTSD) anomaly detection due to complex spatio-temporal dependencies among sensors and pervasive environmental noise. The existing methods struggle to balance anomaly detection accuracy with robustness against data contamination. Hence, this paper proposes a robust mult...

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Bibliographic Details
Main Authors: Yajing Xing, Jinbiao Tan, Rui Zhang, Jiafu Wan
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Big Data and Cognitive Computing
Subjects:
anomaly detection
data fusion
graph attention
multivariate time series data
robustness
Online Access:https://www.mdpi.com/2504-2289/9/5/122
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