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 | 229 | 2020 |
InSDN: A novel SDN intrusion dataset MS Elsayed, NA Le-Khac, AD Jurcut IEEE access 8, 165263-165284, 2020 | 221 | 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 | 154 | 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 | 118 | 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 | 66* | 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 | 60 | 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 | 18 | 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 | 15 | 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 | |
A lightweight anomaly detection system for black hole attack A Abdelhamid, MS Elsayed, AD Jurcut, MA Azer Electronics 12 (6), 1294, 2023 | 8 | 2023 |
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 |
Anomaly Detection of Zero-Day Attacks Based on CNN and Regularization Techniques B Ibrahim Hairab, HK Aslan, MS Elsayed, AD Jurcut, MA Azer Electronics 12 (3), 573, 2023 | 5 | 2023 |