| Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection MN Injadat, A Moubayed, AB Nassif, A Shami IEEE Transactions on Network and Service Management, 2020 | 221 | 2020 |
| Data mining techniques in social media: A survey MN Injadat, F Salo, AB Nassif Neurocomputing 214, 654-670, 2016 | 218 | 2016 |
| Student engagement level in an e-learning environment: Clustering using k-means A Moubayed, M Injadat, A Shami, H Lutfiyya American Journal of Distance Education 34 (2), 137-156, 2020 | 197 | 2020 |
| E-learning: Challenges and research opportunities using machine learning & data analytics A Moubayed, M Injadat, AB Nassif, H Lutfiyya, A Shami IEEE Access 6, 39117-39138, 2018 | 189 | 2018 |
| Bayesian optimization with machine learning algorithms towards anomaly detection MN Injadat, F Salo, AB Nassif, A Essex, A Shami 2018 IEEE global communications conference (GLOBECOM), 1-6, 2018 | 167 | 2018 |
| Systematic ensemble model selection approach for educational data mining MN Injadat, A Moubayed, AB Nassif, A Shami Knowledge-Based Systems 200, 105992, 2020 | 150 | 2020 |
| Data mining techniques in intrusion detection systems: A systematic literature review F Salo, M Injadat, AB Nassif, A Shami, A Essex IEEE Access 6, 56046-56058, 2018 | 146 | 2018 |
| Machine learning towards intelligent systems: applications, challenges, and opportunities MN Injadat, A Moubayed, AB Nassif, A Shami Artificial Intelligence Review 54 (5), 3299-3348, 2021 | 138 | 2021 |
| Multi-split Optimized Bagging Ensemble Model Selection for Multi-class Educational Data Mining MN Injadat, A Moubayed, AB Nassif, A Shami Applied Intelligence 50 (12), 4506–4528, 2020 | 82 | 2020 |
| Detecting botnet attacks in IoT environments: an optimized machine learning approach MN Injadat, A Moubayed, A Shami 2020 32nd International Conference on Microelectronics (ICM), 1-4, 2020 | 75 | 2020 |
| Relationship between student engagement and performance in e-learning environment using association rules A Moubayed, MN Injadat, A Shami, H Lutfiyya 2018 IEEE world engineering education conference (EDUNINE), 1-6, 2018 | 64 | 2018 |
| Dns typo-squatting domain detection: A data analytics & machine learning based approach A Moubayed, MN Injadat, A Shami, H Lutfiyya 2018 IEEE Global Communications Conference (GLOBECOM), 1-7, 2018 | 59 | 2018 |
| Clustering enabled classification using ensemble feature selection for intrusion detection F Salo, MN Injadat, A Moubayed, AB Nassif, A Essex 2019 International Conference on Computing, Networking and Communications …, 2019 | 53 | 2019 |
| Optimized random forest model for botnet detection based on DNS queries A Moubayed, MN Injadat, A Shami 2020 32nd International Conference on Microelectronics (ICM), 1-4, 2020 | 27 | 2020 |
| Data Mining with Big Data in Intrusion Detection Systems: A Systematic Literature Review F Salo, MN Injadat, AB Nassif, A Essex International Symposium on Big Data Management and Analytics 2019, 2020 | 18 | 2020 |
| IIoT network intrusion detection using machine learning AM Eid, AB Nassif, B Soudan, MN Injadat 2023 6th International Conference on Intelligent Robotics and Control …, 2023 | 8 | 2023 |
| Comparative study of ML models for IIoT intrusion detection: impact of data preprocessing and balancing AM Eid, B Soudan, AB Nassif, MN Injadat Neural Computing and Applications 36 (13), 6955-6972, 2024 | 7 | 2024 |
| Optimized machine learning models towards intelligent systems M Injadat Ph. D. dissertation, 2020 | 7 | 2020 |
| A survey on network intrusion detection using convolutional neural network A Kaissar, AB Nassif, MN Injadat ITM Web of Conferences 43, 01003, 2022 | 4 | 2022 |
| Enhancing intrusion detection in IIoT: optimized CNN model with multi-class SMOTE balancing AM Eid, B Soudan, AB Nassif, MN Injadat Neural Computing and Applications, 1-17, 2024 | 2 | 2024 |
Abdallah MoubayedAssistant Professor, Computer Engineering Department-King Fahd University of Petroleum and MineralsVerified email at kfupm.edu.sa
