| Ml-lgbm: A machine learning model based on light gradient boosting machine for the detection of version number attacks in rpl-based networks M Osman, J He, FMM Mokbal, N Zhu, S Qureshi IEEE Access 9, 83654-83665, 2021 | 67 | 2021 |
| Artificial neural network model for decreased rank attack detection in RPL based on IoT networks M Osman, J He, FMM Mokbal, N Zhu Int. J. Netw. Secur 23 (3), 496-503, 2021 | 28 | 2021 |
| An efficient intrusion detection framework based on embedding feature selection and ensemble learning technique. FMM Mokbal, D Wang, M Osman, P Yang, SH Alsamhi Int. Arab J. Inf. Technol. 19 (2), 237-248, 2022 | 12 | 2022 |
| An ensemble learning framework for the detection of RPL attacks in IoT networks based on the genetic feature selection approach M Osman, J He, N Zhu, FMM Mokbal Ad Hoc Networks 152, 103331, 2024 | 5 | 2024 |
| HADTF: a hybrid autoencoder–decision tree framework for improved RPL-based attack detection in IoT networks based on enhanced feature selection approach M Osman, J He, N Zhu, FM Mohammed Mokbal, A Ahmed The Journal of Supercomputing, 1-30, 2024 | | 2024 |
| An effective deep learning scheme for android malware detection leveraging performance metrics and computational resources A Wajahat, J He, N Zhu, T Mahmood, A Nazir, F Ullah, S Qureshi, ... Intelligent Decision Technologies, 1-23, 2024 | | 2024 |
Fawaz M.M. MokbalBeijing University of Technology, China在 bjut.edu.cn 的电子邮件经过验证
