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Mohanad Sarhan

FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems

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Apr 28, 2023
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DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection

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Dec 15, 2022
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XG-BoT: An Explainable Deep Graph Neural Network for Botnet Detection and Forensics

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Jul 19, 2022
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HBFL: A Hierarchical Blockchain-based Federated Learning Framework for a Collaborative IoT Intrusion Detection

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Apr 08, 2022
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Graph Neural Network-based Android Malware Classification with Jumping Knowledge

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Feb 08, 2022
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A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection

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Nov 04, 2021
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From Zero-Shot Machine Learning to Zero-Day Attack Detection

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Sep 30, 2021
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Feature Analysis for ML-based IIoT Intrusion Detection

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Aug 29, 2021
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Feature Extraction for Machine Learning-based Intrusion Detection in IoT Networks

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Aug 28, 2021
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An Explainable Machine Learning-based Network Intrusion Detection System for Enabling Generalisability in Securing IoT Networks

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Apr 15, 2021
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