| Improving performance of autoencoder-based network anomaly detection on nsl-kdd dataset W Xu, J Jang-Jaccard, A Singh, Y Wei, F Sabrina IEEE Access 9, 140136-140146, 2021 | 133 | 2021 |
| IGRF-RFE: a hybrid feature selection method for MLP-based network intrusion detection on UNSW-NB15 dataset Y Yin, J Jang-Jaccard, W Xu, A Singh, J Zhu, F Sabrina, J Kwak Journal of Big data 10 (1), 15, 2023 | 87 | 2023 |
| Ae-mlp: A hybrid deep learning approach for ddos detection and classification Y Wei, J Jang-Jaccard, F Sabrina, A Singh, W Xu, S Camtepe IEEE Access 9, 146810-146821, 2021 | 87 | 2021 |
| LSTM-autoencoder-based anomaly detection for indoor air quality time-series data Y Wei, J Jang-Jaccard, W Xu, F Sabrina, S Camtepe, M Boulic IEEE Sensors Journal 23 (4), 3787-3800, 2023 | 70 | 2023 |
| Artificial intelligence-enabled DDoS detection for blockchain-based smart transport systems T Liu, F Sabrina, J Jang-Jaccard, W Xu, Y Wei Sensors 22 (1), 32, 2021 | 28 | 2021 |
| Improved bidirectional GAN-based approach for network intrusion detection using one-class classifier W Xu, J Jang-Jaccard, T Liu, F Sabrina, J Kwak Computers 11 (6), 85, 2022 | 16 | 2022 |
| Training a bidirectional gan-based one-class classifier for network intrusion detection W Xu, J Jang-Jaccard, T Liu, F Sabrina arXiv preprint arXiv:2202.01332, 2022 | 5 | 2022 |
| Reconstruction-based LSTM-Autoencoder for Anomaly-based DDoS Attack Detection over Multivariate Time-Series Data Y Wei, J Jang-Jaccard, F Sabrina, W Xu, S Camtepe, A Dunmore arXiv preprint arXiv:2305.09475, 2023 | 3 | 2023 |
