Deep learning for anomaly detection in log data: A survey

Deep learning for anomaly detection in log data: A survey

Automatic log file analysis enables early detection of relevant incidents such as system failures. In particular, self-learning anomaly detection techniques capture patterns in log data and subsequently report unexpected log event occurrences to system operators without the need to provide or manual...

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Bibliographic Details
Main Authors: Max Landauer, Sebastian Onder, Florian Skopik, Markus Wurzenberger
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Machine Learning with Applications
Subjects:
Log data
Anomaly detection
Neural networks
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827023000233

Internet

http://www.sciencedirect.com/science/article/pii/S2666827023000233

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