ملف الباحث
Rana M. Khammas
ورقة واحدة في مجموعة PaperMetrix
المنشورات
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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, …