Anomaly Detection in Software System Logs Using Machine Learning
Modern software systems generate large volumes of logs that record events, states, errors, and user or component activities. Manual inspection is increasingly unable to support timely fault diagnosis, performance monitoring, and security analysis. This review examines how machine learning is used to detect anomalies in...