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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Vydané v:	EURASIP journal on wireless communications and networking Ročník 2019; číslo 1; s. 1 - 12
Hlavní autori:	Yang, Ruipeng, Qu, Dan, Qian, Yekui, Dai, Yusheng, Zhu, Shaowei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 28.05.2019 Springer Nature B.V SpringerOpen
Predmet:	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
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