LogELECTRA: Self-supervised Anomaly Detection for Unstructured Logs

no code implementations • 16 Feb 2024 • Yuuki Yamanaka, Tomokatsu Takahashi, Takuya Minami, Yoshiaki Nakajima

In this paper, we propose LogELECTRA, a new log anomaly detection model that analyzes a single line of log messages more deeply on the basis of self-supervised anomaly detection.

Self-Supervised Anomaly Detection Supervised Anomaly Detection