| Ddosnet: A deep-learning model for detecting network attacks MS Elsayed, NA Le-Khac, S Dev, AD Jurcut 2020 IEEE 21st International Symposium on" A World of Wireless, Mobile and …, 2020 | 227 | 2020 |
| InSDN: A novel SDN intrusion dataset MS Elsayed, NA Le-Khac, AD Jurcut IEEE access 8, 165263-165284, 2020 | 217 | 2020 |
| Network anomaly detection using LSTM based autoencoder M Said Elsayed, NA Le-Khac, S Dev, AD Jurcut Proceedings of the 16th ACM Symposium on QoS and Security for Wireless and …, 2020 | 151 | 2020 |
| A novel hybrid model for intrusion detection systems in SDNs based on CNN and a new regularization technique MS ElSayed, NA Le-Khac, MA Albahar, A Jurcut Journal of Network and Computer Applications 191, 103160, 2021 | 115 | 2021 |
| A Flow Based Anomaly Detection Approach with Feature Selection Method Against DDoS Attacks in SDNs ADJ Mahmoud Said ElSayed , Nhien-An Le-Khac, Marianne A. Azer IEEE Transactions on Cognitive Communications and Networking, 1 - 1, 2022 | 63* | 2022 |
| Machine-learning techniques for detecting attacks in SDN MS Elsayed, NA Le-Khac, S Dev, AD Jurcut 2019 IEEE 7th International Conference on Computer Science and Network …, 2019 | 58 | 2019 |
| Dealing with COVID-19 network traffic spikes [cybercrime and forensics] MS Elsayed, NA Le-Khac, AD Jurcut IEEE Security & Privacy 19 (1), 90-94, 2021 | 25 | 2021 |
| Detecting abnormal traffic in large-scale networks MS Elsayed, NA Le-Khac, S Dev, AD Jurcut 2020 International Symposium on Networks, Computers and Communications …, 2020 | 23 | 2020 |
| Soumyabrata Dev, and Anca Delia Jurcut. Network anomaly detection using lstm based autoencoder MS Elsayed, NA Le-Khac Proceedings of the 16th ACM Symposium on QoS and Security for Wireless and …, 2020 | 23 | 2020 |
| A new scheme for ransomware classification and clustering using static features B Yamany, MS Elsayed, AD Jurcut, N Abdelbaki, MA Azer Electronics 11 (20), 3307, 2022 | 21 | 2022 |
| Anomaly detection based on CNN and regularization techniques against zero-day attacks in IoT networks BI Hairab, MS Elsayed, AD Jurcut, MA Azer IEEE Access 10, 98427-98440, 2022 | 19 | 2022 |
| The role of CNN for intrusion detection systems: An improved CNN learning approach for SDNs MS Elsayed, HZ Jahromi, MM Nazir, AD Jurcut International Conference on Future Access Enablers of Ubiquitous and …, 2021 | 17 | 2021 |
| A modified resnext for android malware identification and classification MA Albahar, MS ElSayed, A Jurcut Computational Intelligence and Neuroscience 2022, 2022 | 16 | 2022 |
| A machine learning-based intrusion detection system for iot electric vehicle charging stations (evcss) M ElKashlan, MS Elsayed, AD Jurcut, M Azer Electronics 12 (4), 1044, 2023 | 14 | 2023 |
| A hybrid CNN-LSTM based approach for anomaly detection systems in SDNs MS Elsayed, NA Le-Khac, HZ Jahromi, AD Jurcut Proceedings of the 16th International Conference on Availability …, 2021 | 9 | 2021 |
| Soumyabrata Dev, and Anca Delia Jurcut. Ddosnet: A deep-learning model for detecting network attacks MS Elsayed, NA Le-Khac 2020 IEEE 21st International Symposium on” A World of Wireless, Mobile and …, 0 | 9 | |
| Active Directory Attacks—Steps, Types, And Signatures BI Mokhtar, AD Jurcut, MS ElSayed, MA Azer Electronics 11 (16), 2629, 2022 | 8 | 2022 |
| A Survey on Parameters Affecting MANET Performance AM Eltahlawy, HK Aslan, EG Abdallah, MS Elsayed, AD Jurcut, MA Azer Electronics 12 (9), 1956, 2023 | 7 | 2023 |
| A lightweight anomaly detection system for black hole attack A Abdelhamid, MS Elsayed, AD Jurcut, MA Azer Electronics 12 (6), 1294, 2023 | 7 | 2023 |
| Design and optimization of tolmetin sodium microspheres prepared by emulsification-internal gelation using response surface methodology M Elsayed Al-Azhar Journal of Pharmaceutical Sciences 45 (1), 383-398, 2012 | 5 | 2012 |
