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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Qiaozheng, Zhang, Xiuguo, Wang, Xuejie, Cao, Zhiying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774910/
https://www.ncbi.nlm.nih.gov/pubmed/35052095
http://dx.doi.org/10.3390/e24010069

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774910/
https://www.ncbi.nlm.nih.gov/pubmed/35052095
http://dx.doi.org/10.3390/e24010069

Ejemplares similares