Hybrid DDoS detection system combining Autoencoder and Random Forest. The Autoencoder detects anomalies in network traffic, while Random Forest classifies traffic as benign or malicious. Trained on CIC-DDoS2019 dataset, the model achieves high accuracy and improved detection of unknown attacks.