LogMS: a multi-stage log anomaly detection method based on multi-source information fusion and probability label estimation

Introduction: Log anomaly detection is essential for monitoring and maintaining the normal operation of systems. With the rapid development and maturation of deep learning technologies, deep learning-based log anomaly detection has become a prominent research area. However, existing methods primaril...

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Bibliographic Details
Main Authors: Zhongjiang Yu, Shaoping Yang, Zhongtai Li, Ligang Li, Hui Luo, Fan Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Physics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fphy.2024.1401857/full