DeepSyslog: Deep Anomaly Detection on Syslog Using Sentence Embedding and Metadata

Anomaly events indicating the unhealthy status of the computer system are recorded in the system log (Syslog). Therefore, Syslog-based anomaly event detection is crucial for diagnosing system issues and problems. However, existing log-based anomaly detection approaches use raw and unstructured log e...

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Veröffentlicht in:	IEEE transactions on information forensics and security 2022, Vol.17, p.3051-3061
Hauptverfasser:	Zhou, Junwei, Qian, Yijia, Zou, Qingtian, Liu, Peng, Xiang, Jianwen
Format:	Artikel
Sprache:	eng
Schlagworte:	Anomalies Anomaly detection Context Embedding Event detection event metadata False alarms Feature extraction History Indexes Metadata Representations Semantics sentence embedding Unstructured data
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