AcLog: An Approach to Detecting Anomalies from System Logs with Active Learning

Log-based anomaly detection is an essential aspect of maintaining software reliability, particularly in the context of microservice systems. However, existing log-based anomaly detection approaches rely on historical anomalous labeled data or require huge labeling efforts. This makes existing log-ba...

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Veröffentlicht in:	Proceedings (IEEE International Conference on Web Services. Online) S. 436 - 443
Hauptverfasser:	Duan, Chiming, Jia, Tong, Li, Ying, Huang, Gang
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.07.2023
Schlagworte:	Active learning Anomaly detection Data models Deep Learning Human Feedback Labeling Log analysis Microservice architectures Software reliability Training Training data Web services
ISSN:	2836-3868
Online-Zugang:	Volltext
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