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• Towards Explainable Network Intrusion Detection using Large Language Models
  2024 · 30 citations
• On Generalisability Of Machine Learning-based Network Intrusion Detection Systems
  2022 · 29 citations
• HBFL: A Hierarchical Blockchain-based Federated Learning Framework for a Collaborative IoT Intrusion Detection
  2022 · 7 citations
• eX-NIDS: A Framework for Explainable Network Intrusion Detection Leveraging Large Language Models
  2025 · 5 citations
• Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion Detection
  2021 · 4 citations
• Feature Analysis for Machine Learning-based IoT Intrusion Detection
  2021 · 4 citations
• Graph Neural Network-based Android Malware Classification with Jumping Knowledge
  2022 · 3 citations
• FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems
  2023 · 2 citations
• DI-NIDS: Domain Invariant Network Intrusion Detection System
  2022 · 1 citations
• DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection
  2022 · 1 citations
• MambaNetBurst: Direct Byte-level Network Traffic Classification without Tokenization or Pretraining
  2026
• Network Intrusion Detection System in a Light Bulb
  2022