ELFA-Log: Cross-System Log Anomaly Detection via Enhanced Pseudo-Labeling and Feature Alignment

ELFA-Log: Cross-System Log Anomaly Detection via Enhanced Pseudo-Labeling and Feature Alignment

Existing log-based anomaly detection methods typically require large volumes of labeled data for training, presenting significant challenges when applied to new systems with limited labeled data. This limitation has spurred the need for cross-system log anomaly detection (CSLAD) methods. However, cu...

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Bibliographic Details
Main Authors: Xiaowei Zhao, Kaiwei Guo, Mingting Huang, Shaojian Qiu, Lu Lu
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Computers
Subjects:
log anomaly detection
transfer learning
pseudo-labeling
uncertainty estimation
Online Access:https://www.mdpi.com/2073-431X/14/7/272
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