A novel anomaly detection method for multimodal WSN data flow via a dynamic graph neural network
Anomaly detection is a critical technique that ensures the reliability of WSNs. However, most existing anomaly detection methods only consider the case of single modal data flow anomaly detection for each node or multiple modal time series data flow anomaly detection for a single node and do not con...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2022-12-01
|
| Series: | Connection Science |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/09540091.2022.2078281 |