Log Analysis

Log analysis aims to extract actionable insights from the vast amounts of data generated by computer systems, primarily for anomaly detection, troubleshooting, and performance optimization. Current research heavily utilizes deep learning techniques, including transformers, generative adversarial networks (GANs), and graph neural networks (GNNs), often integrated with large language models (LLMs) to enhance semantic understanding and improve accuracy. This field is crucial for improving system reliability and security across various domains, from network infrastructure to software development, by enabling faster identification and resolution of issues and facilitating more efficient system monitoring.