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Author

Muhammad Arshad

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Open access Aug 2026

Enhancing cybersecurity with Explainable Artificial Intelligence: technical framework and applications in training labs

This paper discusses how explanation outputs can be operationalized in cybersecurity training labs through auditable “rationale artifacts,” while clarifying that any observed reduction in false positives should be interpreted as the outcome of explanation-guided interventions (e.g., threshold tuning and triage rule adj...

Ahmad Almufarreh, Ashfaq Ahmad, Muhammad Arshad et al. · 0 citations
Open access Aug 2026

Browser-based phishing detection system using modern web technologies

A hybrid browser-resident phishing detection framework that combines three complementary detection mechanisms: a locally executed Random Forest model using URL lexical features, lightweight real-time DOM structure analysis, and VirusTotal’s multi-engine reputation service is proposed.

Muhammad Arshad, Beena Sherin Kuriakose, C. W. Onn et al. · 0 citations

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