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Detecting system anomalies based on log data is important for ensuring the security and reliability of computer systems.
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S. He, J. Zhu, P. He, and M. R. Lyu, “Experience report: System log analysis for anomaly detection,” in 2016 IEEE 27th international symposium on software reliability engineering (ISSRE) . IEEE, 2016, pp. 207–218
2016
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A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin, “Attention is all you need,” Advances in neural information processing systems , vol. 30, 2017
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2017
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A. Radford, J. Wu, R. Child, D. Luan, D. Amodei, and I. Sutskever, “Language models are unsupervised multitask learners,” 2019
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H. Guo, S. Yuan, and X. Wu, “Logbert: Log anomaly detection via bert,” in 2021 international joint conference on neural networks (IJCNN) . IEEE, 2021, pp. 1–8
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G. Pang, C. Shen, L. Cao, and A. V. D. Hengel, “Deep learning for anomaly detection: A review,” ACM computing surveys (CSUR) , vol. 54, no. 2, pp. 1–38, 2021
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Z. Wang, Z. Chen, J. Ni, H. Liu, H. Chen, and J. Tang, “Multi-scale one-class recurrent neural networks for discrete event sequence anomaly detection,” in Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data mining , 2021, pp. 3726–3734
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2017
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2018
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2019
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W. Meng, Y. Liu, Y. Zhu, S. Zhang, D. Pei, Y. Liu, Y. Chen, R. Zhang, S. Tao, P. Sun et al. , “Loganomaly: Unsupervised detection of sequential and quantitative anomalies in unstructured logs.” in IJCAI , vol. 19, no. 7, 2019, pp. 4739–4745
2019
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2021
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V.-H. Le and H. Zhang, “Log-based anomaly detection with deep learning: How far are we?” in Proceedings of the 44th international conference on software engineering , 2022, pp. 1356–1367
2022
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S. Zhang, Y. Liu, X. Zhang, W. Cheng, H. Chen, and H. Xiong, “Cat: Beyond efficient transformer for content-aware anomaly detection in event sequences,” in Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , 2022, pp. 4541–4550
2022
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M. Landauer, S. Onder, F. Skopik, and M. Wurzenberger, “Deep learning for anomaly detection in log data: A survey,” Machine Learning with Applications , vol. 12, p. 100470, 2023
2023
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