Mohanad Sarhan

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 28

Top Topics

Intrusion Detection

Money Laundering

Top Venues

J. Netw. Syst. Manag.

Publications

Liam Daly Manocchio, Siamak Layeghy, Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Marius Portmann
FlowTransformer: A transformer framework for flow-based network intrusion detection systems. Expert Syst. Appl. 241 (2024)
Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marcus Gallagher, Marius Portmann
Feature extraction for machine learning-based intrusion detection in IoT networks. Digit. Commun. Networks 10 (1) (2024)
Liam Daly Manocchio, Siamak Layeghy, Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Marius Portmann
FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems. CoRR (2023)
Mohanad Sarhan, Gayan K. Kulatilleke, Wai Weng Lo, Siamak Layeghy, Marius Portmann
DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection. CCGridW (2023)
Mohanad Sarhan, Siamak Layeghy, Marcus Gallagher, Marius Portmann
From zero-shot machine learning to zero-day attack detection. Int. J. Inf. Sec. 22 (4) (2023)
Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marius Portmann
Cyber Threat Intelligence Sharing Scheme Based on Federated Learning for Network Intrusion Detection. J. Netw. Syst. Manag. 31 (1) (2023)
Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Mohanad Sarhan, Raja Jurdak, Marius Portmann
Exploring edge TPU for network intrusion detection in IoT. J. Parallel Distributed Comput. 179 (2023)
Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Siamak Layeghy, Marius Portmann
Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin. Appl. Intell. 53 (16) (2023)
Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Siamak Layeghy, Marius Portmann
XG-BoT: An explainable deep graph neural network for botnet detection and forensics. Internet Things 22 (2023)
Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT. NOMS (2022)
Mohanad Sarhan, Siamak Layeghy, Marius Portmann
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-Based Network Intrusion Detection. Big Data Res. 30 (2022)
Mohanad Sarhan, Wai Weng Lo, Siamak Layeghy, Marius Portmann
HBFL: A Hierarchical Blockchain-based Federated Learning Framework for a Collaborative IoT Intrusion Detection. CoRR (2022)
Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann
Graph Neural Network-based Android Malware Classification with Jumping Knowledge. DSC (2022)
Mohanad Sarhan, Gayan K. Kulatilleke, Wai Weng Lo, Siamak Layeghy, Marius Portmann
DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection. CoRR (2022)
Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marius Portmann
XG-BoT: An Explainable Deep Graph Neural Network for Botnet Detection and Forensics. CoRR (2022)
Mohanad Sarhan, Siamak Layeghy, Marius Portmann
Towards a Standard Feature Set for Network Intrusion Detection System Datasets. Mob. Networks Appl. 27 (1) (2022)
Mohanad Sarhan, Wai Weng Lo, Siamak Layeghy, Marius Portmann
HBFL: A hierarchical blockchain-based federated learning framework for collaborative IoT intrusion detection. Comput. Electr. Eng. 103 (2022)
Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann
Graph Neural Network-based Android Malware Classification with Jumping Knowledge. CoRR (2022)
Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Mohanad Sarhan, Raja Jurdak, Marius Portmann
Exploring Edge TPU for Network Intrusion Detection in IoT. CoRR (2021)
Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marcus Gallagher, Marius Portmann
Feature Extraction for Machine Learning-based Intrusion Detection in IoT Networks. CoRR (2021)
Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marius Portmann
A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection. CoRR (2021)
Mohanad Sarhan, Siamak Layeghy, Marius Portmann
An Explainable Machine Learning-based Network Intrusion Detection System for Enabling Generalisability in Securing IoT Networks. CoRR (2021)
Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Marius Portmann
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System. CoRR (2021)
Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marius Portmann
Towards a Standard Feature Set of NIDS Datasets. CoRR (2021)
Mohanad Sarhan, Siamak Layeghy, Marcus Gallagher, Marius Portmann
From Zero-Shot Machine Learning to Zero-Day Attack Detection. CoRR (2021)
Mohanad Sarhan, Siamak Layeghy, Marius Portmann
Feature Analysis for ML-based IIoT Intrusion Detection. CoRR (2021)
Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marius Portmann
NetFlow Datasets for Machine Learning-Based Network Intrusion Detection Systems. BDTA/WiCON (2020)
Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marius Portmann
NetFlow Datasets for Machine Learning-based Network Intrusion Detection Systems. CoRR (2020)