AutoLog: Anomaly detection by deep autoencoding of system logs

作者：

Highlights：

• A semi-supervised learning technique for anomaly detection.

• Automatic knowledge extraction from system logs.

• Deep autoencoding and non-linear data transformations.

• Measurements with real-life computer systems and logs.

摘要

•A semi-supervised learning technique for anomaly detection.•Automatic knowledge extraction from system logs.•Deep autoencoding and non-linear data transformations.•Measurements with real-life computer systems and logs.

论文关键词：System logs,Deep learning,Autoencoder,Anomaly detection,Cybersecurity

论文评审过程：Received 13 May 2021, Revised 29 October 2021, Accepted 19 November 2021, Available online 10 December 2021, Version of Record 17 December 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116263