AE-MLP: A Hybrid Deep Learning Approach for DDoS Detection and Classification. - Yuanyuan Wei 005; Julian Jang-Jaccard; Fariza Sabrina; Amardeep Singh; Wen Xu 007; Seyit Camtepe (IEEE Access, 2021)

Improving Performance of Autoencoder-Based Network Anomaly Detection on NSL-KDD Dataset. - Wen Xu 007; Julian Jang-Jaccard; Amardeep Singh; Yuanyuan Wei 005; Fariza Sabrina (IEEE Access, 2021)

Improved Bidirectional GAN-Based Approach for Network Intrusion Detection Using One-Class Classifier. - Wen Xu 007; Julian Jang-Jaccard; Tong Liu 016; Fariza Sabrina; Jin Kwak (Comput., 2022)

Training a Bidirectional GAN-based One-Class Classifier for Network Intrusion Detection. - Wen Xu 007; Julian Jang-Jaccard; Tong Liu 016; Fariza Sabrina (CoRR, 2022)

LSTM-Autoencoder based Anomaly Detection for Indoor Air Quality Time Series Data. - Yuanyuan Wei 005; Julian Jang-Jaccard; Wen Xu 007; Fariza Sabrina; Seyit Camtepe; Mikael Boulic (CoRR, 2022)

Artificial Intelligence-Enabled DDoS Detection for Blockchain-Based Smart Transport Systems. - Tong Liu 016; Fariza Sabrina; Julian Jang-Jaccard; Wen Xu 007; Yuanyuan Wei 005 (Sensors, 2022)

Reconstruction-based LSTM-Autoencoder for Anomaly-based DDoS Attack Detection over Multivariate Time-Series Data. - Yuanyuan Wei 005; Julian Jang-Jaccard; Fariza Sabrina; Wen Xu 007; Seyit Camtepe; Aeryn Dunmore (CoRR, 2023)

IGRF-RFE: a hybrid feature selection method for MLP-based network intrusion detection on UNSW-NB15 dataset. - Yuhua Yin; Julian Jang-Jaccard; Wen Xu 007; Amardeep Singh; Jinting Zhu; Fariza Sabrina; Jin Kwak (J. Big Data, 2023)