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...

Full description

Bibliographic Details

Published in:	Proceedings (IEEE International Conference on Web Services. Online) pp. 436 - 443
Main Authors:	Duan, Chiming, Jia, Tong, Li, Ying, Huang, Gang
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.07.2023
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!