TransLog: A Unified Transformer-based Framework for Log Anomaly Detection

What supercomputers say: A study of five system logs

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Abstracting execution logs to execution events for enterprise applications (short paper)

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Spell: Streaming parsing of system event logs

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Automated it system failure prediction: A deep learning approach

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Deeplog: Anomaly detection and diagnosis from system logs through deep learning

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Drain: An online log parsing approach with fixed depth tree

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Attention is all you need

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017

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Bert: Pre-training of deep bidirectional transformers for language understanding

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Detecting anomaly in big data system logs using convolutional neural network

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Improving language understanding by generative pre-training

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BERT and pals: Projected attention layers for efficient adaptation in multi-task learning

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Robust log-based anomaly detection on unstable log data

Xu Zhang, Yong Xu, Qingwei Lin, Bo Qiao, Hongyu Zhang, Yingnong Dang, Chunyu Xie, Xinsheng Yang, Qian Cheng, Ze Li, et al · 2019

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Loghub: A large collection of system log datasets towards automated log analytics

Original

Shilin He, Jieming Zhu, Pinjia He, and Michael R. Lyu · 2020

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Hitanomaly: Hierarchical transformers for anomaly detection in system log

Shaohan Huang, Yi Liu, Carol Fung, Rong He, Yining Zhao, Hailong Yang, and Zhongzhi Luan · 2020

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A study of the performance of general compressors on log files

Kundi Yao, Heng Li, Weiyi Shang, and Ahmed E. Hassan · 2020

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