Asma Alshuhail
Papers
1
Total Citations
3
H-Index
1
About
Asma Alshuhail is a leading researcher in cybersecurity and artificial intelligence, with a primary focus on securing the Industrial Internet of Things (IIoT) within the paradigm of Industry 5.0. Her work addresses the critical challenge of cyber threat detection in imbalanced datasets, where malicious activities are rare compared to normal operations. Her most-cited paper, "Feature enhancement model with up sampling based cyber threat attack detection and classification on imbalanced dataset in Industrial Internet of Things" (2025, 3 citations), introduces a novel AI-driven framework that combines feature enhancement and up-sampling techniques to improve classification accuracy. This contribution is pivotal for hyper-automation in industrial settings, enabling more reliable and resilient security systems. Alshuhail’s research bridges the gap between advanced machine learning models and real-world industrial applications, offering scalable solutions for threat detection. Her work is gaining recognition for its practical impact on safeguarding critical infrastructure, making her a rising voice in the intersection of AI, cybersecurity, and industrial automation.
Research Focus
Key Achievements
Top Papers
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