Author

Nazik Alturki

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Open access Sep 2026

Adversarially robust few-shot learning for aI-enabled attack mitigation in the internet of things

The rapid expansion of Internet of Things (IoT) environments has introduced significant security challenges, particularly due to limited labeled data and increasing vulnerability to adversarial attacks. Traditional intrusion detection systems (IDS) struggle to generalize under such constraints, while existing few-shot...

Fatima A. Asiri, Nazik Alturki, Noha Alnazzawi et al. · Cluster Computing · 0 citations

Open access 2026

Dual-Stream Facial Emotion Recognition with Self-Supervised Pre-Training and Evidential Uncertainty

: Facial emotion recognition (FER) remains difficult in real-world settings. Inter-subject variability, lighting changes, occlusion, and class imbalance all limit performance. Most FER systems rely on one convolutional or transformer backbone. This narrows the features available for classification. This paper presents...

Rashid Jahangir, Nazik Alturki, M. Alreshoodi · Computer Modeling in Enginee... · 0 citations

Open access 2026

ExGAME: An Explainable Game Theoretic and Adaptive Intrusion Detection Framework for Human-Centric Medical IoT

The proposed framework combines machine-learning-based anomaly detection with explainable AI and a game-theoretic defense strategy to improve both detection performance and decision-making clarity and shows that packet rate and traffic flow characteristics are very important for distinguishing between normal and abnorm...

Noha Alnazzawi, Nazik Alturki, U. Mujahid et al. · Computer Modeling in Enginee... · 0 citations