Prof. Mamoun Alazab

College of Engineering, IT and Environment

Charles Darwin University, Australia

Email: alazab.m@ieee.org

Qualifications

Ph.D., Information Technology and Engineering, Federation University of Australia

Publications (Selected)

1. Pang, Y., Yang, D., Shojafar, M., Jin, S., Alazab, M., Wan, S., & Zhao, L. (2025). Small Fault Sample Adversarial Generation and Diagnosis Method for Vehicular Energy Network. IEEE Transactions on Automation Science and Engineering.
2. Li, M., Zhang, M., Zhu, L., Zhang, Z., Conti, M., & Alazab, M. (2024). Decentralized and privacy-preserving smart parking with secure repetition and full verifiability. IEEE Transactions on Mobile Computing.
3. Melhim, L. K. B., Jemmali, M., Boulila, W., Alazab, M., Rani, S., Campbell, H., & Amdouni, H. (2024). Leveraging Drone-Assisted Surveillance for Effective Forest Conservation: A Case Study in Australia’s Daintree Rainforest. IEEE Internet of Things Journal.
4. Azzaoui, H., Boukhamla, A. Z. E., Perazzo, P., Alazab, M., & Ravi, V. (2024). A lightweight cooperative intrusion detection system for rpl-based iot. Wireless Personal Communications, 134(4), 2235-2258.
5. Vasan, D., Hammoudeh, M., & Alazab, M. (2024). Broad learning: A GPU-free image-based malware classification. Applied Soft Computing, 154, 111401.
6. Javanmardi, S., Ghahramani, M., Shojafar, M., Alazab, M., & Caruso, A. M. (2024). M-RL: A mobility and impersonation-aware IDS for DDoS UDP flooding attacks in IoT-Fog networks. Computers & Security, 140, 103778.
7. Al-Hawawreh, M., Shindi, O., Baig, Z., Alazab, M., Anwar, A., & Doss, R. (2024). Quantum-Powered Extended Visibility for Zero Trust-Based Ransomware Detection in Smart Grids. IEEE Internet of Things Journal.
8. Al-Hawawreh, M., Alazab, M., Ferrag, M. A., & Hossain, M. S. (2024). Securing the Industrial Internet of Things against ransomware attacks: A comprehensive analysis of the emerging threat landscape and detection mechanisms. Journal of Network and Computer Applications, 223, 103809.
9. Alazab, M., Khraisat, A., Singh, S., & Jan, T. (2023). Enhancing privacy-preserving intrusion detection through federated learning. Electronics, 12(16), 3382.
10. Ravi, V., Pham, T. D., & Alazab, M. (2023). Deep learning-based network intrusion detection system for Internet of medical things. IEEE internet of things magazine, 6(2), 50-54.
11. Hossain, S., Chakrabarty, A., Gadekallu, T. R., Alazab, M., & Piran, M. J. (2023). Vision transformers, ensemble model, and transfer learning leveraging explainable ai for brain tumor detection and classification. IEEE Journal of Biomedical and Health Informatics, 28(3), 1261-1272.
12. Ramana, K., Srivastava, G., Kumar, M. R., Gadekallu, T. R., Lin, J. C. W., Alazab, M., & Iwendi, C. (2023). A vision transformer approach for traffic congestion prediction in urban areas. IEEE Transactions on Intelligent Transportation Systems, 24(4), 3922-3934.
13. Gadekallu, T. R., Alazab, M., Hemanth, J., & Wang, W. (2023). Guest editorial federated learning for privacy preservation of healthcare data in internet of medical things and patient monitoring. IEEE Journal of Biomedical and Health Informatics, 27(2), 648-651.
14. Chengoden, R., Victor, N., Huynh-The, T., Yenduri, G., Jhaveri, R. H., Alazab, M., ... & Gadekallu, T. R. (2023). Metaverse for healthcare: a survey on potential applications, challenges and future directions. Ieee Access, 11, 12765-12795.
15. Chen, Q., Wu, Y., Wang, X., Jiang, Z. L., Zhang, W., Liu, Y., & Alazab, M. (2023). A Generic Cryptographic Deep-Learning Inference Platform for Remote Sensing Scenes. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16, 3309-3321.
16. Hu, X., Cai, H., Alazab, M., Zhou, W., Haghighi, M. S., & Wen, S. (2023). Federated learning in Industrial IoT: A privacy-preserving solution that enables sharing of data in hydrocarbon explorations. IEEE Transactions on Industrial Informatics, 20(3), 4337-4346.
17. Hasan, M. K., Akhtaruzzaman, M., Kabir, S. R., Gadekallu, T. R., Islam, S., Magalingam, P., ... & Alazab, M. A. (2022). Evolution of industry and blockchain era: monitoring price hike and corruption using BIoT for smart government and industry 4.0. IEEE Transactions on Industrial Informatics, 18(12), 9153-9161.

Profile Details

WoS ResearcherID: AAG-6684-2021

https://orcid.org/0000-0002-1928-3704

https://www.cdu.edu.au/research-and-innovation/higher-degree-research/find-supervisor/eng-tech/professor-mamoun-alazab

https://loop.frontiersin.org/people/797778/overview

https://www.researchgate.net/profile/Mamoun-Alazab