Graph neural network approach with spatial structure to anomaly detection of network data
Abstract Network anomaly detection using graph-structured data is a critical task in data mining and cybersecurity, involving the identification of unusual patterns within a network by analyzing its structure as a graph. However, network data often exhibit high dimensionality and sparsity, complicat...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-04-01
|
| Series: | Journal of Big Data |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40537-025-01149-y |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|