| 1. R. Rafi, T. Moon, R. Paul, and Hasan, Deep Learning-Driven Malware Detection from Image Dataset for Strengthening Cybersecurity. Taylor and Francis Book Chapter, 2025. |
| 2. Moon, I.T., Shamsuzzaman, M., Mridha, M.M.R. and Rahaman, A.S.M.M.,
2022. Towards the Advancement of Cashless Transaction: A Security Analysis of Electronic Payment Systems. Journal of Computer and Communications, 10(7), pp.103-129. |
| 3. Moon, I.T. and Mondal, Md.N.I. (n.d.). Deep Learning-driven Cloud Intrusion Detection: Internet of Things and Cloud Networks. 1st International Conference on Advances in Computer Science, Electrical, Electronics and Communication Technologies (CE2CT). |
| 4. Moon, I.T. and Mondal, Md.N.I. (n.d.). Securing Windows-Based IoT in Smart
Cities: Hybrid Autoencoder-Based Deep Learning Models for Cyberattack Detection and Classification. International Conference on Information Technology and Artificial Intelligence (ITAI 2025). |
| 5. Rafi, M.T.R., Moon, I.T., Mridha, M.M.R., Shakil, M.S.A., Chaudhary, M.J. and Khan, M.T., 2025. Enhancing Cybersecurity: Comparative Insights in Machine Learning Models for Ransomware Detection. European Journal of Artificial Intelligence and Machine Learning, 4(3), pp.1-7. |
| 6. Mimi, A., Moon, I.T., Mridha, Md.M.R. and Jafor, Md.S. (n.d.). Detection of DDoS Attack: A Comparative Evaluation of Machine Learning Techniques. 2024 IEEE International Conference on Signal Processing, Information, Communication and Systems (SPICSCON). |
| 7. Moon, I., Mimi, & Mridha, Md. M. (n.d.). Improper Implementation of Transport Layer Security: Impact on Android Applications and Manin-the-Middle Attack. 2024 IEEE International Conference on Power, Electrical, Electronics and Industrial Applications. |
| 8. Mst.Liya Akter, Iffath Tanjim Moon, MD Akash Akter, & Zhakia Tabessum Shafa. (n.d.). Classification of Malicious Financial Applications Using Naive Bayes and KNearest Neighbor Algorithms Based on Android Permission. 2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE 2024). |
| 9. Moon, I.T., Mimi, A. and Mridha, M.M.R., 2023, December. Cryptographic Analysis: Popular Social Media Applications and Mitigations of Vulnerabilities. In
2023 26th International Conference on Computer and Information Technology (ICCIT) (pp. 1-6). IEEE. |
| 10. Moon, I.T. and Mondal, Md.N.I. (n.d.). A Hybrid Deep Learning Architecture Using Dense Neural Network and Gated Recurrent Unit for Cloud Intrusion Detection. 4th International Conference on Electrical, Computer and Communication Engineering (ECCE) 2025. |
| 11. Shakil, Md.S.A., Chaudhary, Md.J., Mridha, Md.M.R., Khan, Md.T., Moon, I.T. and Zinnia, D.A. (n.d.). Leveraging Transfer Learning and Ensemble Models for the Classification of Monkeypox and Other Skin Lesions. 2024 27th International Conference on Computer and Information Technology (ICCIT) 20-22 December 2024, Cox’s Bazar, Bangladesh. |
| 12. Taufiq Khan, Md. Musfiqur Rahman Mridha, Md. Jamil Chaudhary, Md. Shahid Ahammed Shakil, Dilshad Ara Zinnia, Iffath Tanjim Moon, Md. Fatin Nibbrash
Nakib. A Skin Lesion Classification Approach Using Transfer Learning to Detect Monkeypox in 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) ,2025 |
| 13. Hafijur Rahman Hemel, Md. Fatin Nibbrash Nakib, Md. Musfiqur Rahman Mridha, Md. Arafat Ibna Mizan, Md. Jamil Chaudhary, Iffath Tanjim Moon, Kazi
Mahmudul Hasan. Advancements in Plant Disease Detection: A Comparative Study of Deep Learning-Based Classification Models in 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) ,2025 |
| 14. Mst. Saima Rahman Mou, Md. Fatin Nibbrash Nakib, Md. Musfiqur Rahman Mridha, Md. Arafat Ibna Mizan, Iffath Tanjim Moon, Md. Jamil Chaudhary, Md. Rafsan Yeasir. Classifying Fresh and Rotten Fruits Using Deep Learning: Examining Image-Based Methods for Quality Evaluation in 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) ,2025 |
| 15. Refat-E-Jannat, Md. Arafat Ibna Mizan, Md. Taufiq Khan, Iffath Tanjim Moon, Md. Musfiqur Rahman Mridha, Md. Fatin Nibbrash Nakib, Asif Ahamed. Multiple Face-Emotion Recognition Using Attention Mechanisms in Deep Learning in 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) ,2025 |
| 16. Ovi, r A.A., Moon, I.T. and Nayeem, Md.J. (n.d.). A Machine Learning Approach for Identifying Gender Based on Bengali Vocal Cues. Middle East Journal of Applied Science & Technology, 8(1). |
| 17. N. Jahan et al., Brain Tumor Classification Using Deep and Machine Learning Techniques on MRI Data. Taylor and Francis Book Chapter, 2025. |
