Log Message Anomaly Detection and Classification Using Auto-B/LSTM and Auto-GRU

Understand

Log messages are now widely used in software systems.

• They are important for classification as millions of logs are generated each day.
• Most logs are unstructured which makes classification a challenge.
• In this paper, Deep Learning (DL) methods called Auto-LSTM, Auto-BLSTM and Auto-GRU are developed for anomaly detection and log classification.