| Imbalanced tabular data modelization using CTGAN and machine learning to improve IoT Botnet attacks detection O Habibi, M Chemmakha, M Lazaar Engineering Applications of Artificial Intelligence 118, 105669, 2023 | 56 | 2023 |
| Improving machine learning models for malware detection using embedded feature selection method M Chemmakha, O Habibi, M Lazaar IFAC-PapersOnLine 55 (12), 771-776, 2022 | 16 | 2022 |
| Performance evaluation of CNN and pre-trained models for malware classification O Habibi, M Chemmakha, M Lazaar Arabian Journal for Science and Engineering 48 (8), 10355-10369, 2023 | 11 | 2023 |
| Effect of features extraction and selection on the evaluation of machine learning models O HABIBI, M CHEMMAKHA, M LAZAAR IFAC-PapersOnLine 55 (12), 462-467, 2022 | 6 | 2022 |
| An end-to-end learning approach for enhancing intrusion detection in Industrial-Internet of Things K Hassini, S Khalis, O Habibi, M Chemmakha, M Lazaar Knowledge-Based Systems 294, 111785, 2024 | 3 | 2024 |
| A Novel Hybrid Architecture of Conditional Tabular Generative Adversarial Network and 1D Convolution Neural Network for Enhanced Attack Detection in IoT Systems M Chemmakha, O Habibi, M Lazaar 2023 Sixth International Conference on Vocational Education and Electrical …, 2023 | 1 | 2023 |
| Toward Improving Internet of Things (IoT) Networks Security Using Machine Learning Based Intrusion Detection System M Mouiti, A Elhariri, O Habibi, M Lazaar 2023 International Conference on Digital Age & Technological Advances for …, 2023 | 1 | 2023 |
| Improving Deep Learning Performance Using Sampling Techniques for IoT Imbalanced Data A EL HARIRI, M MOUITI, O HABIBI, M LAZAAR Procedia Computer Science 224, 180-187, 2023 | | 2023 |
| Fs-Tgan: An Enhanced Approach for Internet of Things (Iot) Intrusion Detection System Based on Feature Selection and Tabular Generative Adversarial Network M CHEMMAKHA, A Chehri, O Habibi, M Lazaar, R Saadane Available at SSRN 4673886, 0 | | |
Mohamed LAZAARENSIAS, Université Mohammed V de Rabat在 um5.ac.ma 的电子邮件经过验证
Mohamed LAZAARENSIAS, Université Mohammed V de Rabat在 um5.ac.ma 的电子邮件经过验证