| Reinforcement learning for efficient network penetration testing MC Ghanem, TM Chen Information 11 (1), 6, 2020 | 113 | 2020 |
| Reinforcement learning for intelligent penetration testing MC Ghanem, TM Chen 2018 Second World Conference on Smart Trends in Systems, Security and …, 2018 | 56 | 2018 |
| Hierarchical reinforcement learning for efficient and effective automated penetration testing of large networks MC Ghanem, TM Chen, EG Nepomuceno Journal of Intelligent Information Systems 60 (2), 281-303, 2023 | 15 | 2023 |
| The use of artificial intelligence in digital forensics and incident response in a constrained environment D Dunsin, MC Ghanem, K Quazzane International Journal of Information and Communication Engineering 16 (8 …, 2022 | 11 | 2022 |
| Enhancing WPA2-PSK four-way handshaking after re-authentication to deal with de-authentication followed by brute-force attack a novel re-authentication protocol MC Ghanem, DN Ratnayake 2016 International Conference On Cyber Situational Awareness, Data Analytics …, 2016 | 11 | 2016 |
| Towards a scientific research based on semantic web MC Ghanem, A Mouloudi, M Mourchid Procedia Computer Science 73, 328-335, 2017 | 9 | 2017 |
| FLoBC: A decentralized blockchain-based federated learning framework MC Ghanem IEEE Fourth International Conference on Blockchain Computing and …, 2022 | 7 | 2022 |
| A comprehensive analysis of the role of artificial intelligence and machine learning in modern digital forensics and incident response D Dunsin, MC Ghanem, K Ouazzane, V Vassilev Forensic Science International: Digital Investigation 48 (301675), 2666-2817, 2024 | 3 | 2024 |
| D2WFP: a novel protocol for forensically identifying, extracting, and analysing deep and dark web browsing activities MC Ghanem, P Mulvihill, K Ouazzane, R Djemai, D Dunsin Journal of Cybersecurity and Privacy 3 (4), 808-829, 2023 | 3 | 2023 |
| Towards an efficient automation of network penetration testing using model-based reinforcement learning MC Ghanem City, University of London, 2020 | 2 | 2020 |
| Cryptographically upgrading TOR network to enforce anonymity by enhancing security and improving performances MC GHANEM Computer Networks and Communications, 2016 | 2* | 2016 |
| ESASCF: Expertise Extraction, Generalization and Reply Framework for an Optimized Automation of Network Security Compliance MC Ghanem, TM Chen, MA Ferrag, ME Kettouche IEEE ACCESS 11 (10.1109/ACCESS.2023.3332834), 129840-129853, 2023 | 1 | 2023 |
| AI-Enabled System for Efficient and Effective Cyber Incident Detection and Response in Cloud Environments MAM Farzaan, MC Ghanem, A El-Hajjar arXiv preprint arXiv:2404.05602, 2024 | | 2024 |
| Revolutionizing intrusion detection in industrial IoT with distributed learning and deep generative techniques D Hamouda, MA Ferrag, B Nadjette, S Hamid, MC Ghanem Internet of Things 101149, 1-15, 2024 | | 2024 |
| A Hierarchical Security Event Correlation Model for Real-Time Threat Detection and Response H Maosa, K Ouazzane, MC Ghanem Network 4 (1), 68-90, 2024 | | 2024 |
| A Novel Hybrid Method for Effective Identification and Extraction of Digital Evidence Masked by Steganographic Techniques in WAV and MP3 Files MC Ghanem, MD Uribarri, R Djemai, D Dunsin, II Araujo Journal of Information Security and Cybercrimes Research 6 (2), 89-104, 2023 | | 2023 |
| A Script-Based Toolkit for Extracting Evidence Hidden by Cryptographic and Steganographic Techniques MD Uribarri, MC Ghanem ICDFSCC 16th International Conference on Digital Forensics and Security of …, 2022 | | 2022 |
Thomas M. ChenProfessor in Cyber Security, City, University of LondonVerified email at city.ac.uk
