An online log template extraction method based on hierarchical clustering

The raw log messages record extremely rich system, network, and application running dynamic information that is a good data source for abnormal detection. Log template extraction is an important prerequisite for log sequence anomaly detection. The problems of the existing log template extraction met...

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Veröffentlicht in:	EURASIP journal on wireless communications and networking Jg. 2019; H. 1; S. 1 - 12
Hauptverfasser:	Yang, Ruipeng, Qu, Dan, Qian, Yekui, Dai, Yusheng, Zhu, Shaowei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 28.05.2019 Springer Nature B.V SpringerOpen
Schlagworte:	Algorithms Anomalies Cluster analysis Clustering Communications Engineering Distributed Big Data Processing in SCADA Communication Networks Engineering Information Systems Applications (incl.Internet) Log anomaly detection Log template extraction Messages Networks Online hierarchical clustering Online vectorization Signal,Image and Speech Processing Log template extraction Online vectorization Log anomaly detection Online hierarchical clustering
ISSN:	1687-1499, 1687-1472, 1687-1499
Online-Zugang:	Volltext
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