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Nguyen Dinh Duc Nha

Nguyen Dinh Duc Nha, PhD

College of Engineering and Computer Science

Assistant Professor, Computer Science program

Biography

Dr. Nguyen Dinh Duc Nha specializes in next-generation network security, quantum computing, IoT intrusion detection, and cryptographic systems, with a strong focus on integrating artificial intelligence into cybersecurity. He received his Bachelor’s degree from the Posts and Telecommunications Institute of Technology, Vietnam, in 2011, his Master’s in Information Technology (Networks) with Distinction from Queensland University of Technology, Australia, in 2020, and his Ph.D. in Cybersecurity from Deakin University, Australia, in 2024. Dr. Nguyen has published extensively in high-impact journals, including IEEE Transactions on Dependable and Secure Computing and IEEE Internet of Things Journal, with some of his research funded by the Department of Defense, Australia. A recipient of multiple awards, he was twice listed on QUT’s Dean’s List for Excellent Academic Performance and received the 2022 School of Information Technology Higher Degree by Research Award at Deakin University. He also earned a prize in the 2022 Country-to-Country CTF Cybersecurity Challenge hosted by MIT. Actively involved in mentoring, he has guided Ph.D. and Master’s students, contributing to publications and book chapters. Dr. Nguyen is also a reviewer for leading journals such as the IEEE Internet of Things Journal, IEEE Transactions on Reliability and has secured grants, including projects on software supply chain security. He holds professional certifications in many critical technologies. With a commitment to advancing research and teaching, Dr. Nguyen continues to contribute significantly to the fields of cybersecurity, cryptography, and network security.

  • Applied Machine Learning in Cybersecurity
  • IoT Intrusion Detection
  • Cryptography
  • Next Generation Network Security
  • Post-Quantum Cryptography (PQC)
  • VPN technologies

  • Cyber Security
  • Cryptography
  • Cyber Security Management
  • Cyber Security Analytics
  • Advance Network Security

  1. D. N. Nguyenet al., “Design and Robust Evaluation of Next Generation Node Authentication Approach,” in IEEE Transactions on Dependable and Secure Computing, doi: 10.1109/TDSC.2024.3373778. (Q1, Impact Factor: 6.407)
  2. Singh, K. Sood, P. Rajalakshmi, D. D. N. Nguyenand Y. Xiang, “Evaluating Federated Learning-Based Intrusion Detection Scheme for Next Generation Networks,” in IEEE Transactions on Network and Service Management, vol. 21, no. 4, pp. 4816-4829, Aug. 2024, doi: 10.1109/TNSM.2024.3385385. (Q1, Impact Factor: 5.853)
  3. Sood, D. D. N. Nguyen, Y. Qu, L. Cui, K. K. Karmakar and S. Yu, “Security Challenges and Potential Solutions in Aerial-Terrestrial Wireless Networking,” in IEEE Internet of Things Magazine, vol. 6, no. 4, pp. 118-123, December 2023, doi: 10.1109/IOTM.001.2300024.
  4. D. N. Nguyen, K. Sood, Y. Xiang, L. Gao, L. Chi and S. Yu, “Toward IoT Node Authentication Mechanism in Next Generation Networks,” in IEEE Internet of Things Journal, vol. 10, no. 15, pp. 13333-13341, 1 Aug. 1, 2023, doi: 10.1109/JIOT.2023.3262822. (Q1, Impact Factor: 9.936, FWCI: 2.34)
  5. Sood, K.,  D. N. Nguyen, Nosouhi, M. R., Kumar, N., Jiang, F., Chowdhury, M., & Doss, R. “Performance Evaluation of a Novel Intrusion Detection System in Next Generation Networks,” in IEEE Transactions on Network and Service Management, vol. 20, no. 3, pp. 3831-3847, Sept. 2023, doi: 10.1109/TNSM.2023.3242270. (Q1, Impact Factor: 5.853, FWCI: 0.28)
  6. Sood, M. R. Nosouhi, D. D. N. Nguyen, F. Jiang, M. Chowdhury and R. Doss, “Intrusion Detection Scheme With Dimensionality Reduction in Next Generation Networks,” in IEEE Transactions on Information Forensics and Security, vol. 18, pp. 965-979, 2023, doi: 10.1109/TIFS.2022.3233777. (Q1, Impact Factor: 7.178, FWCI: 7.53)
  7. D. N. Nguyen, K. Sood, Y. Xiang, L. Gao and L. Chi, “Impersonation Attack Detection in IoT Networks,” GLOBECOM 2022 – 2022 IEEE Global Communications Conference, Rio de Janeiro, Brazil, 2022, pp. 6061-6066, doi: 10.1109/GLOBECOM48099.2022.10001392. (FWCI: 2.03)
  8. D. N. Nguyen, K. Sood, M. R. Nosouhi, Y. Xiang, L. Gao and L. Chi, “RF Fingerprinting-Based IoT Node Authentication Using Mahalanobis Distance Correlation Theory,” in IEEE Networking Letters, vol. 4, no. 2, pp. 78-81, June 2022, doi: 10.1109/LNET.2022.3167665.
  9. Sood, S. Yu, D. D. N. Nguyen, Y. Xiang, B. Feng and X. Zhang, “A Tutorial on Next Generation Heterogeneous IoT Networks and Node Authentication,” in IEEE Internet of Things Magazine, vol. 4, no. 4, pp. 120-126, December 2021, doi: 10.1109/IOTM.001.2100115. (FWCI: 0.57)

  • 2024: Ph.D. in Cyber Security, Deakin University, Melbourne, Australia.
  • 2020: Master of Information Technology (Networks), Queensland University of Technology, Brisbane, Australia.
  • 2011: Bachelor Degree of Telecommunication and Electronic in Post and Telecommunications Institute of Technology, Ho Chi Minh City, Viet Nam.

  • 2022 School of Information Technology Higher Degree by Research Award, Deakin University
  • 2022 Country-to-Country CTF (C2C) Cybersecurity Challenge Prize, hosted by MIT and organized by INCS-CoE
  • 2020 Dean’s List for Excellent Academic Performance, Queensland University of Technology
  • 2019 Dean’s List for Excellent Academic Performance, Queensland University of Technology
  • 2014 Outstanding Performance Award, TMA Solutions, Vietnam

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