Author

Muhammad Zubair Asghar

3 papers indexed here

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Open access Sep 2026

X-THREAT framework for adaptive and explainable deep learning-based minority-class and zero-day cyber threat detection

The dynamic nature of cyber threats—particularly minority-class and zero-day attacks—poses significant challenges to existing intrusion detection systems (IDS), which often lack adaptability, interpretability, and robustness. This paper presents X-THREAT, an adaptive and explainable deep learning framework designed to...

Samina Naz Qaisarani, Sahar K. Badri, A. Khattak et al. · Scientific Reports · 0 citations

#federated learning Open access Oct 2026

Securing the open-source ecosystem: AI-enhanced and explainable supply chain security for reliable software development

Modern software supply chains face increasing risks from vulnerable and anomalous dependencies, necessitating automated and interpretable detection methods integrated within Continuous Integration and Continuous Deployment (CI/CD) workflows. Open-source software (OSS) ecosystems are increasingly targeted by sophist...

A. Alzahrani, Muhammad Zubair Asghar · Scientific Reports · 0 citations

#edge computing Open access Sep 2026

HED-ID: a federated expert system for interpretable and resource-adaptive intrusion detection on edge devices

The proliferation of edge computing in industrial and IoT networks necessitates expert systems that support accurate, interpretable, and resource-efficient intrusion detection under strict privacy and computational constraints. This paper presents HED-ID, a fully integrated federated expert system designed for real-tim...

Kushboo Nasir, Sahar K. Badri, A. Khattak et al. · Scientific Reports · 0 citations