Abdulrhman M. Alshareef
Papers
1
Total Citations
3
H-Index
1
About
Abdulrhman M. Alshareef is a rising researcher at the forefront of cybersecurity and artificial intelligence, with a focused expertise in securing the Industrial Internet of Things (IIoT) and advancing Industry 5.0 paradigms. His work addresses a critical challenge: detecting cyber threats in highly imbalanced datasets, a common yet difficult problem in real-world industrial environments. His 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), introduces a novel AI-driven framework that combines feature enhancement with up-sampling techniques to improve threat detection accuracy. This contribution is pivotal for hyper-automation in Industry 5.0, where reliable, real-time security is essential. With 3 citations already, this work signals growing recognition of his innovative approach. Alshareef’s research bridges the gap between advanced AI models and practical cybersecurity needs, making him a key voice in the evolution of secure, intelligent industrial systems. His ongoing contributions promise to shape resilient infrastructures for the next generation of connected industries.
Research Focus
Key Achievements
Top Papers
- 1