- Kumar, R., Aljuhani, A., Javeed, D., Kumar, P., Islam, S., & Islam, A. N. (2024). Digital twins-enabled zero touch network: A smart contract and explainable AI integrated cybersecurity framework. Future Generation Computer Systems.Doi: https://www.sciencedirect.com/science/ar4000608
- Kumar, P., Javeed, D., Kumar, R., & Islam, A. N. (2024). Blockchain and explainable AI for enhanced decision making in cyber threat detection. Software: Practice and Experience. Doi:https://doi.org/10.1002/spe.3319
- Martínez, F., Sànchez, L. E., Santos-Olmo, A., Rosado, D. G., & Fernàndez-Medina, E. (2024). Maritime cybersecurity: protecting digital seas. International Journal of Information Security, 1-29. Doi:https://doi.org/10.1007/s10207-023-00800-0
- Blanco, C., Santos-Olmo, A., & Sánchez, L. E. (2024). QISS: Quantum-Enhanced Sustainable Security Incident Handling in the IoT. Information, 15(4), 181. Doi: https://doi.org/10.1007/s10207-023-00800-0
- Javeed, D., Saeed, M. S., Adil, M., Kumar, P., & Jolfaei, A. (2024). A federated learning-based zero trust intrusion detection system for Internet of Things. Ad Hoc Networks,103540.Doi:https://doi.org/10.1016/j.adhoc.2024.103540
- Javeed, D., Saeed, M. S., Ahmad, I., Adil, M., Kumar, P., & Islam, A. N. (2024). Quantum-empowered federated learning and 6G wireless networks for IoT security: Concept, challenges and future directions. Future Generation Computer Systems. Doi: https://doi.org/10.1016/j.future.2024.06.023
- Islam, S., Javeed, D., Saeed, M. S., Kumar, P., Jolfaei, A., & Islam, A. N. (2024). Generative AI and Cognitive Computing-Driven Intrusion Detection System in Industrial CPS. Cognitive Computation, 16(5), 2611-2625. Doi: https://doi.org/10.1007/s12559-024-10309-w
- Rosado, D. G., Sánchez, L. E., Varela-Vaca, Á. J., Santos-Olmo, A., Gómez-López, M. T., Gasca, R. M., & Fernández-Medina, E. (2024). Enabling security risk assessment and management for business process models. Journal of Information Security and Applications, 84, 103829. Doi: https://doi.org/10.1016/j.jisa.2024.103829
- Gençoğlu, M. T. (2025). Finding the Integral-Equation-Based Linear Renewal Density Equation and Analytical Solutions. Symmetry, 17(3), 453.Doi: https://doi.org/10.3390/sym17030453
- Eren, H., Karaduman, Ö., & Gençoğlu, M. T. (2025). Security Challenges and Performance Trade-Offs in On-Chain and Off-Chain Blockchain Storage: A Comprehensive Review. Applied Sciences, 15(6), 3225.Doi: https://doi.org/10.3390/app15063225
- Karaduman, Ö., & Gülhas, G. (2025). Blockchain-Enabled Supply Chain Management: A Review of Security, Traceability, and Data Integrity Amid the Evolving Systemic Demand. Applied Sciences, 15(9), 5168.Doi: https://doi.org/10.3390/app15095168
- Aouedi, O., Jajoo, G., & Piamrat, K. (2024, June). METALS: seMi-supervised fEderaTed Active Learning for intrusion detection Systems. In 2024 IEEE Symposium on Computers and Communications (ISCC) (pp. 1-6). IEEE.Doi: https://doi.org/10.1109/ISCC61673.2024.10733565
- Shankar, G., Uddin, M. R., Mukta, S., Kumar, P., Islam, S., & Islam, A. K. M. (2025). Blockchain Based Information Security and Privacy Protection: Challenges and Future Directions using Computational Literature Review.Doi: https://hdl.handle.net/10125/108945
- Uddin, Md Raihan; Shankar, Gauri; Mukta, Md. Saddam Hossain; Kumar, Prabhat; and Islam, Najmul, “Evolving Topics in Federated Learning: Trends, and Emerging Directions for IS Research” (2024). ICIS 2024 Proceedings. 13.Doi: https://aisel.aisnet.org/icis2024/lit_review/lit_review/13
- Jmal, H., Piamrat, K., & Aouedi, O. (2024). TUNE-FL: adapTive semi-synchronoUs semi-deceNtralizEd Federated Learning. In IEEE Consumer Communications and Networking Conference (CCNC). IEEE.Doi: https://orbilu.uni.lu/handle/10993/62656