Sunitha Vutukuri

TAHEDD-DL: A Feature Transformer–LightGBM Hybrid with SMOTE Embedding Imputation for High-Precision Network Intrusion Detection

There is a dire need for an intruder detection model that can tackle all three challenging aspects, namely, high class imbalance, traffic evolution, and cross-feature dependencies, in one single solution. State-of-the-art deep learning intrusion detection models using either temporal convolutions or recurrent neural ne...