Online Log Data Analysis With Efficient Machine Learning: A Review

IEEE Security & Privacy(2022)

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摘要
Logs are incrementally produced textual data that reflect events and their impact on technical systems. Their efficient analysis is key for operational cybersecurity. We investigate approaches beyond applying simple regular expressions and provide insights into novel machine learning mechanisms for parsing and analyzing log data for online anomaly detection.
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关键词
parsing analyzing log data,online anomaly detection,online log data analysis,efficient machine learning,textual data,technical systems,operational cybersecurity,simple regular expressions
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