Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs

Understand

The detection of anomalies is essential mining task for the security and reliability in computer systems.

• Logs are a common and major data source for anomaly detection methods in almost every computer system.
• They collect a range of significant events describing the runtime system status.
• Recent studies have focused predominantly on one-class deep learning methods on predefined non-learnable numerical log representations.