DDoS Anomaly Detection in Software-Defined Networks: An Evaluation of Machine Learning Techniques for Traffic Classification and Prediction

Abdinasir HirsiLukman AudahAdeb SalhNan Mad SaharSalman AhmedMohammed A. Alhartomi2024-12-302024-12-302024-08-0710.1109/ICFTSS61109.2024.10691328https://dspace-cris.utar.edu.my/handle/123456789/8866DDoS Anomaly Detection in Software-Defined Networks: An Evaluation of Machine Learning Techniques for Traffic Classification and Predictionproceedings-article