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Iffath Tanjim Moon

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Iffath Tanjim Moon
Lecturer


  • iffathtanjim2197@gmail.com
  • 01515684022
  • Main Building
Qualification
B.Sc. in Computer Science & Engineering (CSE), Begum Rokeya University, Rangpur
M.Sc. in Computer Science & Engineering (CSE), Rajshahi University of Engineering & Technology
Experience
Lecturer
Pundra University of Science & Technology (2023-Till now)
Publications
1. 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).
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. 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.
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.
Research
Cybersecurity
Machine Learning
Deep Learning
Image Processing
Others