Dr Ahmad Sahban Rafsanjani
- Lecturer
- Programme Leader of Bachelor of Science (Honours) Information Technology (Computer Networking and Security)
Biography
AHMAD SAHBAN RAFSANJANI his PhD in network security and his master’s in information security from Universiti Teknologi Malaysia (UTM), Malaysia. He is currently Programme leader and lecturer at the Department of Smart Computing and Cyber Resilience, Sunway University, Malaysia. He has published several research papers in journals and conference proceedings, and his areas of interest include network security, data hiding, cryptography, IoT security and malware analysis. He is intended to explore his research interests in machine learning and blockchain. He is also a member of the IEEE Computer Society.
Academic & Professional Qualifications
- PhD in Network Security, University Technology Malaysia, Malaysia (2022)
- Master in Information Security, University Technology Malaysia, Malaysia (2014)
- CCNA, CEH, CHFI
Research Interests
- Network security
- Blockchain
- IoT Security
- Malware analysis
- Machine Learning
Teaching Areas
- Network and Information Security
- Ethical Hacking and Penetration Testing
- Vulnerability Assessment
- Digital Forensics
Courses Taught
- Networking Principles
- Network Security
- Advanced Topics in Computer Security
- Certified Ethical Hacking and Countermeasures
- Certified Hacking Forensic Investigator
Notable Publications
Jie, C. C. M., Rajah, D. S. A. M., Ganisen, G. A., Chandran, T. A., Rafsanjani, A. S., & Jasser, M. B. (2024, June). A Secure Data Sharing Platform in the Era of Web 3.0 by Leveraging the Power of Blockchain Technology. In 2024 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) (pp. 291-296). IEEE.
Rafsanjani, A. S., Kamaruddin, N. B., Behjati, M., Aslam, S., Sarfaraz, A., & Amphawan, A. (2024). Enhancing Malicious URL Detection: A Novel Framework Leveraging Priority Coefficient and Feature Evaluation. IEEE Access.
Emambocus, B. A. S., Jasser, M. B., Zet, L. C., Ajibade, S. S. M., Wong, R. T., Chua, H. N., & Rafsanjani, A. S. (2024, March). A Clustering Algorithm Employing Salp Swarm Algorithm and K-Means. In 2024 20th IEEE International Colloquium on Signal Processing & Its Applications (CSPA) (pp. 108-113). IEEE.
Kian, C. L., Rafsanjani, A. S., Ramly, A. M., Jasser, M. B., & Pajooh, H. H. (2023, December). Multi-Layer Network Authentication Methods for IoT Devices. In 2023 IEEE 11th Conference on Systems, Process & Control (ICSPC) (pp. 373-378). IEEE.
Emambocus, B. A. S., Jasser, M. B., Rejepov, S., Chua, H. N., Rafsanjani, A. S., & Al-Hadi, I. A. A. Q. (2023, August). An optimized hybrid dragonfly algorithm applied for solving the optimal reactive power dispatch problem in smart grids. In 2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE) (pp. 269-274). IEEE.
Rafsanjani, A. S., Kamaruddin, N. B., Rusli, H. M., & Dabbagh, M. (2023). QsecR: Secure qr code scanner according to a novel malicious url detection framework. IEEE Access.
Rafsanjani, A. S., Kamaruddin, D. N., Amir Sjariff, N. N., Nurulhuda Firdaus, Maarop, N., & Mohd Rusli, H. (2022). A Evaluating Security and Privacy Features of Quick Response Code Scanners: A Comparative Study. Open International Journal of Informatics, 10(2), 197–207. Retrieved from https://oiji.utm.my/index.php/oiji/article/view/201.
Rafsanjani, A. S. (2018). Comparison Cover Image of Digital Watermarking Based on Discrete Cosine Transform by Using Quick Response Code. In 1st International Conference on Emerging Trends in Engineering, Technologies and Social Sciences (ICETS-2018).
Achievements & Accolades
2024 - Title: Enhancing Healthcare Data Security and Privacy by Leveraging Web 3.0: A Path Towards Sustainable Development and Equity.
Duration: July 2024 – June 2025
Sponsor: SUNWAY UNIVERSITY RESEARCH ACCELERATOR GRANT SCHEME
Role: Principal Investigator
2024 - Title: Blockchain-Powered Sustainable Supply Chain.
Duration: April 2024 – March 2025
Sponsor: SUNWAY UNIVERSITY RESEARCH ACCELERATOR GRANT SCHEME
Role: Co- Investigator
2022 – Awarded Certification of Excellence for PhD Thesis, Universiti Teknologi Malaysia (UTM).
Title: Malicious URL detection framework using priority coefficient and feature evaluation
Professional Associations
- Member of IEEE
- Member of IEEE Computer Society
