The paper presents a study of deep learning based approach for Intrusion Detection System. Already existing models for classification were based on supervised learning methods which fails to classify ...

To address imbalanced data challenges in intrusion detection, we propose SA-LCA, integrating an improved stacked autoencoder with LSTM-CNN-Attention. Preprocessing uses one-hot encoding and ...