Prof. Shareeful Islam

Anglia Ruskin University, UK

Associate Professor

Email: shareeful.islam@aru.ac.uk

Qualifications

2010 Ph.D., Software Development Risk Management Model-a goal-driven approac, Technische Universität München (TUM), Germany

2005 M.Sc., Information Communication System Security, Royal Institute of Technology (KTH), Sweden

2000 M.Sc.,Computer Science, University of Dhaka, Bangladesh (1st class, 1st position)

1997 B.Sc., Applied Physics & Electronics, University of Dhaka, Bangladesh

Publications (Selected)

1. Aladwan, F., Shukla, R. M., Abroshan, H., Islam, S., & Al-Haddad, R. (2024, December). From Spatial to Frequency Domain: Defending Medical Image Classification Against Steganography-Based Adversarial Attacks. In 2024 IEEE International Conference on Big Data (BigData) (pp. 4466-4473). IEEE.
2. Haurogné, J., Basheer, N., & Islam, S. (2024). Vulnerability detection using BERT based LLM model with transparency obligation practice towards trustworthy AI. Machine Learning with Applications, 18, 100598.
3. 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, 156, 191-205.
4. Basheer, N., Pranggono, B., Islam, S., Papastergiou, S., & Mouratidis, H. (2024, June). Enhancing malware detection through machine learning using XAI with SHAP framework. In IFIP International Conference on Artificial Intelligence Applications and Innovations (pp. 316-329). Cham: Springer Nature Switzerland.
5. Silvestri, S., Islam, S., Amelin, D., Weiler, G., Papastergiou, S., & Ciampi, M. (2024). Cyber threat assessment and management for securing healthcare ecosystems using natural language processing. International Journal of Information Security, 23(1), 31-50.
6. Mouratidis, H., Islam, S., Santos-Olmo, A., Sanchez, L. E., & Ismail, U. M. (2023). Modelling language for cyber security incident handling for critical infrastructures. Computers & Security, 128, 103139.
7. Javeed, D., Saeed, M. S., Kumar, P., Jolfaei, A., Islam, S., & Islam, A. N. (2023). Federated learning-based personalized recommendation systems: An overview on security and privacy challenges. IEEE Transactions on Consumer Electronics, 70(1), 2618-2627.
8. Silvestri, S., Islam, S., Papastergiou, S., Tzagkarakis, C., & Ciampi, M. (2023). A machine learning approach for the NLP-based analysis of cyber threats and vulnerabilities of the healthcare ecosystem. Sensors, 23(2), 651.
9. Silvestri, S., Islam, S., Papastergiou, S., Tzagkarakis, C., & Ciampi, M. (2023). A machine learning approach for the NLP-based analysis of cyber threats and vulnerabilities of the healthcare ecosystem. Sensors, 23(2), 651.
10. Kure, H. I., Islam, S., & Mouratidis, H. (2022). An integrated cyber security risk management framework and risk predication for the critical infrastructure protection. Neural Computing and Applications, 34(18), 15241-15271.
11. Kure, H. I., Islam, S., Ghazanfar, M., Raza, A., & Pasha, M. (2022). Asset criticality and risk prediction for an effective cybersecurity risk management of cyber-physical system. Neural Computing and Applications, 34(1), 493-514.
12. Yeboah-Ofori, A., Islam, S., Lee, S. W., Shamszaman, Z. U., Muhammad, K., Altaf, M., & Al-Rakhami, M. S. (2021). Cyber threat predictive analytics for improving cyber supply chain security. IEEE Access, 9, 94318-94337.
13. Ismail, U. M., & Islam, S. (2020). A unified framework for cloud security transparency and audit. Journal of information security and applications, 54, 102594.
14. Islam, S., & Mahmud, H. (2020, May). Integration of learning analytics into learner management system using machine learning. In Proceedings of the 2020 2nd International Conference on Modern Educational Technology (pp. 1-4).
15. Dey, S. K., Islam, S., Jahan, I., Shabuj, K. H., Begum, S., Chisti, M. J., ... & Chowdhury, S. (2020). Association of Hyperbilirubinemia Requiring Phototherapy or Exchange Transfusion with Hearing Impairment among Admitted Term and Late Preterm Newborn in a NICU. Mymensingh Medical Journal: MMJ, 29(2), 405-413.
16. Uddin, M., Islam, S., & Al-Nemrat, A. (2019). A dynamic access control model using authorising workflow and task-role-based access control. Ieee Access, 7, 166676-166689.

Profile Details

WoS ResearcherID: E-8784-2012

https://www.aru.ac.uk/people/shareeful-islam

https://scholar.google.com.hk/citations?user=IAxS1lsAAAAJ&hl=zh-CN&oi=sra

https://www.researchgate.net/scientific-contributions/Shareeful-Islam-2099745974