What are the implications of concept drift on the ongoing performance evaluation of botnet DDoS detection models?

Concept drift refers to changes in the underlying data distribution over time, such as new attack vectors or evolving normal traffic patterns. This can degrade model performance. Ongoing performance evaluation is crucial to detect such drift and trigger model retraining or adaptation. Metrics should be monitored over time, and periodic re-evaluation on fresh datasets is necessary to ensure sustained effectiveness.