ملف الباحث

Rana M. Khammas

ورقة واحدة في مجموعة PaperMetrix

المنشورات

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  1. Evaluation of Explainable Artificial Intelligence in IoT Intrusion Detection Systems Under DeepFool Adversarial Conditions

    2026 · Sensors

    As IoT systems complexity grows, transparent and trustworthy machine-learning intrusion detection systems are crucial. Post hoc explainable AI methods, such as SHAP and LIME, are the most widely used ways to explain how models work, …