LogCDM: Interpretable Log Anomaly Detection via Behavioral Graph Drift
The authors present LogCDM, a compact, resource-efficient log anomaly detector that uses behavioral graph drift and adaptive signal fusion.
The authors present LogCDM, a compact, resource-efficient log anomaly detector that uses behavioral graph drift and adaptive signal fusion.