System Log

System logs, records of software and system events, are crucial for monitoring, troubleshooting, and security analysis. Current research focuses on automating log analysis using machine learning, particularly exploring the effectiveness of various architectures like convolutional neural networks (CNNs) for specific applications (e.g., telecommunications log classification) and graph neural networks (GNNs) for detecting anomalies in complex systems. These advancements aim to improve efficiency and accuracy in tasks such as threat hunting, anomaly detection, and log parsing, ultimately leading to better system reliability, enhanced security, and reduced operational costs across diverse industries.