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Mahmoud Said El-Sayed Abdallah (PhD, University Collage Dublin)
Mahmoud Said El-Sayed Abdallah (PhD, University Collage Dublin)
Network and Security Design Engineer
Verified email at ucdconnect.ie
Title
Cited by
Cited by
Year
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
2222020
InSDN: A novel SDN intrusion dataset
MS Elsayed, NA Le-Khac, AD Jurcut
IEEE access 8, 165263-165284, 2020
1982020
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
1412020
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
1072021
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
582019
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
56*2022
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
252021
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
232020
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
232020
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
202022
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
172022
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
162021
A modified resnext for android malware identification and classification
MA Albahar, MS ElSayed, A Jurcut
Computational Intelligence and Neuroscience 2022, 2022
142022
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
122023
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
92021
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
8
A Survey on Parameters Affecting MANET Performance
AM Eltahlawy, HK Aslan, EG Abdallah, MS Elsayed, AD Jurcut, MA Azer
Electronics 12 (9), 1956, 2023
72023
A lightweight anomaly detection system for black hole attack
A Abdelhamid, MS Elsayed, AD Jurcut, MA Azer
Electronics 12 (6), 1294, 2023
72023
Active Directory Attacks—Steps, Types, And Signatures
BI Mokhtar, AD Jurcut, MS ElSayed, MA Azer
Electronics 11 (16), 2629, 2022
72022
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
52012
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Articles 1–20