LogSD: Detecting Anomalies from System Logs through Self-Supervised Learning and Frequency-Based Masking
LogSD: Detecting Anomalies from System Logs through Self-Supervised Learning and Frequency-Based Masking
Log analysis is one of the main techniques that engineers use for troubleshooting large-scale software systems. Over the years, many supervised, semi-supervised, and unsupervised log analysis methods have been proposed to detect system anomalies by analyzing system logs. Among these, semi-supervised methods have garnered increasing attention as they strike a …