Rafik Hamza

Associate Professor of Information Management & Cybersecurity

Ph.D. – University of Batna

2017 Ph.D. – Cryptography and Security, University of Batna 2
2014 M.Sc. – Cryptography and Security, University of Batna 2
2011 B.Sc. – Applied Mathematics, University of Batna 2
Teaching & Research Interests

Cybersecurity, Information Security & Privacy, Applied Cryptography for Big Data Applications, Post-Quantum Cryptography, Privacy-Preserving Machine Learning, Blockchain-Enabled Smart Contracts for IoT Environments.

Academic Appointments
2022- Associate Professor, Tokyo International University
2020-2022 Researcher, Big Data Integration Research Center, National Institute of Information and Communications Technology -NICT, Tokyo, Japan
2019-2020 Postdoctoral researcher, Guangzhou University, Guangzhou, China
2018-2019 Principal Engineer, DC R&D, SONATRACH, Boumerdes, Algeria
Research Activities & Grants
Conference Chair: “International Conference on Advanced Machine Learning and Data Science (AMLDS 2025)” July, 2025 (Conference Website: https://amlds.site/ )
Associate Editor: Cureus Journal of Computer Sciences, Part of Springer Nature journals, 2024~today.
2021-2022 “Applying Artificial Intelligence and Machine Learning Algorithms to Emerging Technologies” funded by the Institutional Funding Committee at Najran University, Kingdom of Saudi Arabia. Project number (NU/IFC/ENT/01/013).
Selected Publications/Conference Papers
Selected Peer-Reviewed Journal Articles:
Benaissi, Chikouche, & Rafik Hamza. (2023). A novel image encryption algorithm based on hybrid chaotic maps using a key image. Optik, 272, 170316.
Rafik Hamza, & Pradana, H. (2022). A Survey of Intellectual Property Rights Protection in Big Data Applications. Algorithms, 15(11), 418.
Tawfeeg Mohmmed, & Rafik Hamza. et al. (2022). Cloud Dynamic Load Balancing and Reactive Fault Tolerance Techniques: A Systematic Literature Review (SLR). IEEE Access, vol. 10, pp. 71853-71873, 2022, doi: 10.1109/ACCESS.2022.3188645.
Yousif, A., & Rafik Hamza. et al. (2022). Greedy firefly algorithm for optimizing job scheduling in iot grid computing. Sensors, 22(3), 850.
Alzubair Hassan; Rafik Hamza; Et al. (2022). “A Secure User Authentication Protocol for Heterogeneous Mobile Environments”. IEEE Accesshttps://doi.org/10.1109/ACCESS.2022.3186683
Rafik Hamza; Alzubair Hassan; et al. (2022). Towards Secure Big Data Analysis via Fully Homomorphic Encryption Algorithms. Entropy, 24(4), 519.
Rafik Hamza & Minh-Son Dao (2022). Privacy-preserving deep learning techniques for wearable sensor-based big data applications. Virtual Reality & Intelligent Hardware, 4(3), 210-222.
Patil Akash, Rafik Hamza, Et al. (2020). “Efficient privacy-preserving authentication protocol using PUFs with blockchain smart contracts.” Computers & Security 97 : 101958.
Rafik Hamza, Zheng Yan, Et al. (2020). “A privacy-preserving cryptosystem for IoT E-healthcare.” Information Sciences 527: 493-510.
Rafik Hamza; Alzubair Hassan; et al. (2019). An Efficient Cryptosystem for Video Surveillance in the Internet of Things Environment. Complexity, 2019, 1-11.
Alzubair Hassan; Rafik Hamza; Et al. (2019). “An efficient outsourced privacy preserving machine learning scheme with public verifiability.” IEEE Access 7: 146322-146330.
Muhammad, Khan, Rafik Hamza, Et al. (2018). “Secure surveillance framework for IoT systems using probabilistic image encryption.” IEEE Transactions on Industrial Informatics 14, no. 8: 3679-3689.
Selected Peer Reviewed International Conference Presentations:
Keynote speaker “Digital Economy” AICIEB June 21th, 2022. 3rd annual international conference on Islamic economics and business.
Rafik Hamza, Minh-Son Dao, Et al. (2022) “Towards Intellectual Property Rights Protection in Big Data.” Intelligent Cross-Data Analysis and Retrieval (ICDAR ’22). ACM, New York, NY, USA, 50–57.
Rafik Hamza, Koji Zettsu. (2021). “Investigation on privacy-preserving techniques for personal data.” Intelligent Cross-Data Analysis and Retrieval, Taipei, Taiwan. pp. 62-66.
Patil, A. S., Rafik Hamza, Et al. (2019, December). Blockchain-PUF-based secure authentication protocol for Internet of Things. In International Conference on Algorithms and Architectures for Parallel Processing (pp. 331-338). Springer, Cham.
Rafik Hamza; Alzubair Hassan; et al. (2019, September). A lightweight secure IoT surveillance framework based on DCT-DFRT algorithms. In International Conference on Machine Learning for Cyber Security (pp. 271-278). Springer, Cham.
Alzubair Hassan; Rafik Hamza; Et al. (2019, September). A lightweight certificateless user authentication scheme for mobile environment. In International Conference on Machine Learning for Cyber Security (pp. 112-122). Springer, Cham.
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