Literature Review on Log Anomaly Detection Approaches Utilizing Online Parsing Methodology
Scott Lupton, Hironori Washizaki, Nobukazu Yoshioka, Yoshiaki Fukazawa · 2021
The use of anomaly detection for log monitoring requires parsing model input features from raw, unstructured data. Log parsing methods come in many forms, but are generally categorized as being either offline or online. In this study, a systematic literature review of anomaly detection approaches utilizing online parsing methods is performed. An inventory of these approaches is taken, research gaps are explored, and suggestions for future exploration and study are presented.