Real-Time DNS Monitoring and Bandwidth Enforcement Logs for Machine Learning–Based Network Security Experiments

This dataset contains network monitoring logs generated during real-time experiments evaluating a machine-learning-based malicious domain detection and dynamic bandwidth enforcement system. The system monitors DNS traffic, classifies accessed domains using a trained machine-learning model, and dynamically applies bandwidth-control policies to users accessing malicious domains. The dataset includes three types of logs: • User access logs recording domain access events, classification results, and bandwidth adjustments. • Penalty enforcement logs documenting bandwidth penalties applied to users accessing malicious domains. • Bandwidth change logs track bandwidth allocation changes during the experiment. The logs were collected during a controlled network experiment involving multiple concurrent users over a five-hour period. These data support the reproducibility of experiments related to DNS monitoring, automated bandwidth control, and machine-learning-assisted network security systems.