A deep learning/machine learning approach for anomaly based network intrusion detection

Evaluation on an independent benchmark dataset confirmed the strong generalizability and robustness of the proposed model across diverse intrusion scenarios. These findings highlight the effectiveness of the hybrid ensemble framework in significantly improving intrusion detection capabilities within complex and dynamic network environments.