@inproceedings{a232fbc896024bf6adbccab750f5f992,
title = "LogGPT: Exploring ChatGPT for Log-Based Anomaly Detection",
abstract = "The increasing volume of log data produced by software-intensive systems makes it impractical to analyze them manually. Many deep learning-based methods have been proposed for log-based anomaly detection. These methods face several challenges such as high-dimensional and noisy log data, class imbalance, generalization, and model interpretability. Recently, ChatGPT has shown promising results in various domains. However, there is still a lack of study on the application of ChatGPT for log-based anomaly detection. In this work, we proposed LogGPT, a log-based anomaly detection framework based on ChatGPT. By leveraging ChatGPT's language interpretation capabilities, LogGPT aims to explore the transferability of knowledge from large-scale corpora to log-based anomaly detection. We conduct experiments to evaluate the performance of LogGPT and compare it with three deep learning-based methods on BGL and Spirit datasets. LogGPT shows promising results and has good interpretability. This study provides preliminary insights into prompt-based models, such as ChatGPT, for the log-based anomaly detection task.",
keywords = "ChatGPT, anomaly detection, deep learning, system log",
author = "Jiaxing Qi and Shaohan Huang and Zhongzhi Luan and Shu Yang and Carol Fung and Hailong Yang and Depei Qian and Jing Shang and Zhiwen Xiao and Zhihui Wu",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 25th IEEE International Conferences on High Performance Computing and Communications, 9th International Conference on Data Science and Systems, 21st IEEE International Conference on Smart City and 9th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC/DSS/SmartCity/DependSys 2023 ; Conference date: 13-12-2023 Through 15-12-2023",
year = "2023",
doi = "10.1109/HPCC-DSS-SmartCity-DependSys60770.2023.00045",
language = "英语",
series = "Proceedings - 2023 IEEE International Conference on High Performance Computing and Communications, Data Science and Systems, Smart City and Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "273--280",
editor = "Jinjun Chen and Yang, \{Laurence T.\}",
booktitle = "Proceedings - 2023 IEEE International Conference on High Performance Computing and Communications, Data Science and Systems, Smart City and Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2023",
address = "美国",
}