Pre-LogMGAE: Identification of Log Anomalies Using a Pre-Trained Masked Graph Autoencoder

Log-based anomaly detection in software systems is becoming increasingly crucial for monitoring network operations and ensuring system security. Deep learning-based methods are widely used for large-scale log anomaly detection due to their capacity to learn complex features. However, current researc...

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Bibliographic Details

Published in:	Proceedings - Symposium on Reliable Distributed Systems pp. 294 - 306
Main Authors:	Wu, Aming, Kwon, Young-Woo
Format:	Conference Proceeding
Language:	English
Published:	IEEE 30.09.2024
Subjects:	Anomaly Detection Contrastive Learning Graph Autoencoder Self-Supervised Learning System Security
ISSN:	2575-8462
Online Access:	Get full text
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