Log Sequence Anomaly Detection Method Based on Contrastive Adversarial Training and Dual Feature Extraction

Log Sequence Anomaly Detection Method Based on Contrastive Adversarial Training and Dual Feature Extraction

The log messages generated in the system reflect the state of the system at all times. The realization of autonomous detection of abnormalities in log messages can help operators find abnormalities in time and provide a basis for analyzing the causes of abnormalities. First, this paper proposes a lo...

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Bibliographic Details
Main Authors:	Qiaozheng Wang, Xiuguo Zhang, Xuejie Wang, Zhiying Cao
Format:	Article
Language:	English
Published:	MDPI AG 2021-12-01
Series:	Entropy
Subjects:	adversarial training contrastive learning statistical features VAE BERT
Online Access:	https://www.mdpi.com/1099-4300/24/1/69

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