LogFormer

[AAAI 2024] LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection

Data

Training data can be download from LogHub

Updates

01/23. We release the base code version for LogFormer, which is a strong baseline for log anomaly detection.

Data processing

1. Downloading data into log_data/
2. parse_log.py
3. preprocess_xxx.py

Citation

If you feel helpful, please cite our paper.

@article{guo2024logformer,
  title={LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection},
  author={Guo, Hongcheng and Yang, Jian and Liu, Jiaheng and Bai, Jiaqi and Wang, Boyang and Li, Zhoujun and Zheng, Tieqiao and Zhang, Bo and Tian, Qi and others},
  journal={arXiv preprint arXiv:2401.04749},
  year={2024}
}