利用在线解析方法进行日志异常检测的文献综述*

Scott Lupton, H. Washizaki, Nobukazu Yoshioka, Y. Fukazawa
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引用次数: 4

摘要

使用异常检测进行日志监控需要从原始的非结构化数据中解析模型输入特征。日志解析方法有多种形式,但通常分为离线和在线两类。在本研究中,对利用在线解析方法的异常检测方法进行了系统的文献综述。对这些方法进行了盘点,探讨了研究差距,并提出了对未来探索和研究的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Literature Review on Log Anomaly Detection Approaches Utilizing Online Parsing Methodology*
The use of anomaly detection for log monitoring requires parsing model input features from raw, unstructured data. Log parsing methods come in many forms, but are generally categorized as being either offline or online. In this study, a systematic literature review of anomaly detection approaches utilizing online parsing methods is performed. An inventory of these approaches is taken, research gaps are explored, and suggestions for future exploration and study are presented.
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