Robust log anomaly detection based on contrastive learning and multi-scale MASS

System logs are an important data source for performance monitoring and anomaly detection. Analyzing logs for anomaly detection can improve service quality. At present, although machine learning algorithms for anomaly detection can achieve high accuracy, they lack robustness. The detection model can...

Ausführliche Beschreibung