Mohanad Sarhan

30 papers B 1Journal 26Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Software Defined Wide Area Networking for secure and resilient Unmanned Aerial Systems. Comput. Ind. Eng. Thomas Scully, Mark Robson, Mohanad Sarhan, Nour Moustafa, Javaan S. Chahl
2025	J	`jnl`	Temporal Analysis of NetFlow Datasets for Network Intrusion Detection Systems. CoRR Majed Luay, Siamak Layeghy, Seyedehfaezeh Hosseininoorbin, Mohanad Sarhan, Nour Moustafa, Marius Portmann
2024	J	`jnl`	Feature extraction for machine learning-based intrusion detection in IoT networks. Digit. Commun. Networks Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marcus Gallagher, Marius Portmann
2024	J	`jnl`	FlowTransformer: A transformer framework for flow-based network intrusion detection systems. Expert Syst. Appl. Liam Daly Manocchio, Siamak Layeghy, Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Marius Portmann
2023	J	`jnl`	Cyber Threat Intelligence Sharing Scheme Based on Federated Learning for Network Intrusion Detection. J. Netw. Syst. Manag. Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marius Portmann
2023	—	`conf`	DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection. CCGridW Mohanad Sarhan, Gayan K. Kulatilleke, Wai Weng Lo, Siamak Layeghy, Marius Portmann
2023	J	`jnl`	Exploring edge TPU for network intrusion detection in IoT. J. Parallel Distributed Comput. Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Mohanad Sarhan, Raja Jurdak, Marius Portmann
2023	J	`jnl`	FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems. CoRR Liam Daly Manocchio, Siamak Layeghy, Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Marius Portmann
2023	J	`jnl`	From zero-shot machine learning to zero-day attack detection. Int. J. Inf. Sec. Mohanad Sarhan, Siamak Layeghy, Marcus Gallagher, Marius Portmann
2023	J	`jnl`	Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin. Appl. Intell. Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Siamak Layeghy, Marius Portmann
2023	J	`jnl`	XG-BoT: An explainable deep graph neural network for botnet detection and forensics. Internet Things Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Siamak Layeghy, Marius Portmann
2022	J	`jnl`	DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection. CoRR Mohanad Sarhan, Gayan K. Kulatilleke, Wai Weng Lo, Siamak Layeghy, Marius Portmann
2022	B	`conf`	E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT. NOMS Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann
2022	J	`jnl`	Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-Based Network Intrusion Detection. Big Data Res. Mohanad Sarhan, Siamak Layeghy, Marius Portmann
2022	—	`conf`	Graph Neural Network-based Android Malware Classification with Jumping Knowledge. DSC Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann
2022	J	`jnl`	Graph Neural Network-based Android Malware Classification with Jumping Knowledge. CoRR Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann
2022	J	`jnl`	HBFL: A Hierarchical Blockchain-based Federated Learning Framework for a Collaborative IoT Intrusion Detection. CoRR Mohanad Sarhan, Wai Weng Lo, Siamak Layeghy, Marius Portmann
2022	J	`jnl`	HBFL: A hierarchical blockchain-based federated learning framework for collaborative IoT intrusion detection. Comput. Electr. Eng. Mohanad Sarhan, Wai Weng Lo, Siamak Layeghy, Marius Portmann
2022	J	`jnl`	Towards a Standard Feature Set for Network Intrusion Detection System Datasets. Mob. Networks Appl. Mohanad Sarhan, Siamak Layeghy, Marius Portmann
2022	J	`jnl`	XG-BoT: An Explainable Deep Graph Neural Network for Botnet Detection and Forensics. CoRR Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marius Portmann
2021	J	`jnl`	A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection. CoRR Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marius Portmann
2021	J	`jnl`	An Explainable Machine Learning-based Network Intrusion Detection System for Enabling Generalisability in Securing IoT Networks. CoRR Mohanad Sarhan, Siamak Layeghy, Marius Portmann
2021	J	`jnl`	E-GraphSAGE: A Graph Neural Network based Intrusion Detection System. CoRR Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann
2021	J	`jnl`	Exploring Edge TPU for Network Intrusion Detection in IoT. CoRR Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Mohanad Sarhan, Raja Jurdak, Marius Portmann
2021	J	`jnl`	Feature Analysis for ML-based IIoT Intrusion Detection. CoRR Mohanad Sarhan, Siamak Layeghy, Marius Portmann
2021	J	`jnl`	Feature Extraction for Machine Learning-based Intrusion Detection in IoT Networks. CoRR Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marcus Gallagher, Marius Portmann
2021	J	`jnl`	From Zero-Shot Machine Learning to Zero-Day Attack Detection. CoRR Mohanad Sarhan, Siamak Layeghy, Marcus Gallagher, Marius Portmann
2021	J	`jnl`	Towards a Standard Feature Set of NIDS Datasets. CoRR Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marius Portmann
2020	—	`conf`	NetFlow Datasets for Machine Learning-Based Network Intrusion Detection Systems. BDTA/WiCON Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marius Portmann
2020	J	`jnl`	NetFlow Datasets for Machine Learning-based Network Intrusion Detection Systems. CoRR Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marius Portmann