Dr. Ibrahim Alwhbi PhD
Assistant Professor of Cybersecurity
Dr. Ibrahim Abdullah Alwhbi is an Assistant Professor of Cybersecurity at Al Yamamah University, Riyadh, Saudi Arabia. He earned his Ph.D. in Computer Science from the University of Central Florida (UCF), USA, where his research focused on privacy and security challenges in Internet of Things (IoT) environments, particularly fingerprinting and profiling attacks on encrypted WiFi traffic. His work has been published in reputable venues, including IEEE CCNC, IEEE ASTES, and Sensors journal.
Dr. Alwhbi’s research interests include cybersecurity, artificial intelligence, machine learning, network forensics, and IoT privacy. His studies explore how machine learning techniques can be leveraged to enhance network security, detect anomalies, and preserve user privacy in modern connected systems.
In addition to his research, Dr. Alwhbi has extensive teaching experience in courses such as Vulnerability Assessment, Security Policies and Procedures, and Forensics & Incident Response. He is committed to fostering innovation and cybersecurity awareness among students and promoting practical, hands-on approaches to learning.
Dr. Alwhbi has received several academic and professional awards, including recognition from Sophos (2021) and a NASA Certificate of Achievement (2020). He continues to collaborate with international scholars and industry partners to advance research in AI-driven cybersecurity and privacy-preserving network analysis.
A. Alwhbi, C. Zou, “Encrypted Network Traffic Analysis and Classification Utilizing Machine Learning,” Sensors, vol. 24, no. 3, pp. 1–19, 2024.
[MDPI Sensors Journal]
A. Alwhbi, C. Zou, “WiFi-based IoT Devices Profiling Attack based on Eavesdropping of Encrypted WiFi Traffic,” in Proceedings of IEEE Consumer Communications & Networking Conference (CCNC), Las Vegas, USA, 2022.
A. Alwhbi, C. Zou, “Profiling Attack on WiFi-based IoT Devices using Eavesdropping of Encrypted Data Frames,” Advances in Science, Technology and Engineering Systems Journal (ASTESJ), vol. 7, no. 4, pp. 231–239, 2022.
A. Alwhbi, C. Zou, “Hyperparameter Optimization and Comparison of Student Performance Prediction Algorithms,” in Proceedings of the International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, USA, 2021.
A. Alwhbi, “Machine Learning Techniques for Fingerprinting IoT Devices, Websites, and Mobile Applications: A Survey,” (Manuscript under preparation, 2024).
A. Alwhbi and C. Zou, “WiFi-based IoT Devices Profiling Attack based on Eavesdropping of Encrypted WiFi Traffic,” presented at the IEEE Consumer Communications and Networking Conference (CCNC 2022), Las Vegas, Nevada, USA.
A. Alwhbi and C. Zou, “Profiling Attack on WiFi-based IoT Devices using Eavesdropping of Encrypted Data Frames,” presented at the IEEE ASTES International Conference on Advanced Science, Technology and Engineering Systems, 2022.
A. Alwhbi and C. Zou, “Hyperparameter Optimization and Comparison of Student Performance Prediction Algorithms,” presented at the IEEE International Conference on Computational Science and Computational Intelligence (CSCI 2021), Las Vegas, Nevada, USA.
A. Alwhbi, “Machine Learning Techniques for Fingerprinting IoT Devices, Websites, and Mobile Applications: A Survey,” presented at the Graduate Research Forum, University of Central Florida, 2023.
At Al Yamamah University (Riyadh, Saudi Arabia)
- CYB 515 – Vulnerability Assessment
- NES 481 – Security Policies and Procedures
- NES 483 – Forensics and Incident Response
Dr. Ibrahim Alwhbi has actively contributed to academic, research, and professional communities through various service and leadership roles. His commitment extends to student mentoring, academic committee work, and peer reviewing for international journals and conferences.
University and Departmental Service
- Member of the Exam Committee, College of Engineering and Architecture, Al Yamamah University.
- Supervisor and examiner for Master of Computer Science (MCS) projects.
- Faculty mentor for undergraduate capstone and cybersecurity research projects.
- Contributor to curriculum development and course design in the Cybersecurity program.
- Active participant in university outreach and student engagement activities.
Professional Service
- Reviewer for IEEE conferences and journals, including IEEE CCNC and ASTES Journal.
- Member of professional and academic communities in Cybersecurity, AI, and IoT Research.
- Participant in academic collaborations promoting AI-driven cybersecurity research.
Community and Leadership Involvement
- Advocate for cybersecurity awareness and digital privacy education in academic and public forums.
- Supporter of STEM education initiatives aimed at preparing students for technology careers.