Mahmoud Said Elsayed

Orcid: 0000-0003-2416-7481

According to our database1, Mahmoud Said Elsayed authored at least 21 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

2024
A Holistic Approach to Ransomware Classification: Leveraging Static and Dynamic Analysis with Visualization.
Inf., 2024

FAMTDS: A novel MFO-based fully automated malicious traffic detection system for multi-environment networks.
Comput. Networks, 2024

Detection of sequence number attacks using enhanced AODV protocol in MANETs.
Comput. Electr. Eng., 2024

Anomaly-Based Intrusion Detection for Blackhole Attack Mitigation.
Proceedings of the 19th International Conference on Availability, Reliability and Security, 2024

2023
IoT Vulnerabilities and Attacks: SILEX Malware Case Study.
Symmetry, November, 2023

A lightweight-X-authentication protocol over automotive gateway.
Comput. Electr. Eng., September, 2023

Analysis of ICS and SCADA Systems Attacks Using Honeypots.
Future Internet, July, 2023

Intrusion Detection for Electric Vehicle Charging Systems (EVCS).
Algorithms, February, 2023

NG-MVEE: A New Proposed Hybrid Technique for Enhanced Mitigation of Code Re-Use Attack.
IEEE Access, 2023

2022
A Flow-Based Anomaly Detection Approach With Feature Selection Method Against DDoS Attacks in SDNs.
IEEE Trans. Cogn. Commun. Netw., 2022

Anomaly Detection Based on CNN and Regularization Techniques Against Zero-Day Attacks in IoT Networks.
IEEE Access, 2022

SDN Intrusion Detection: An Ensemble Approach to Reducing False Negative Rate for Novel Attacks.
Proceedings of the 32nd International Telecommunication Networks and Applications Conference, 2022

2021
A novel hybrid model for intrusion detection systems in SDNs based on CNN and a new regularization technique.
J. Netw. Comput. Appl., 2021

Dealing With COVID-19 Network Traffic Spikes [Cybercrime and Forensics].
IEEE Secur. Priv., 2021

The Role of CNN for Intrusion Detection Systems: An Improved CNN Learning Approach for SDNs.
Proceedings of the Future Access Enablers for Ubiquitous and Intelligent Infrastructures, 2021

2020
InSDN: A Novel SDN Intrusion Dataset.
IEEE Access, 2020

DDoSNet: A Deep-Learning Model for Detecting Network Attacks.
Proceedings of the 21st IEEE International Symposium on "A World of Wireless, 2020

Network Anomaly Detection Using LSTM Based Autoencoder.
Proceedings of the Q2SWinet '20: Proceedings of the 16th ACM Symposium on QoS and Security for Wireless and Mobile Networks, 2020

Detecting Abnormal Traffic in Large-Scale Networks.
Proceedings of the 2020 International Symposium on Networks, Computers and Communications, 2020

2019
Machine-Learning Techniques for Detecting Attacks in SDN.
CoRR, 2019

2018
Detection and Countermeasures of DDoS Attacks in Cloud Computing.
Proceedings of the Tenth International Conference on Ubiquitous and Future Networks, 2018


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