Personal profile
Biography
Husnain Rafiq is a lecturer in cyber security at Edge Hill University (EHU). Before that, he was a PhD scholar at Northumbria University, Newcastle. His PhD research focused on employing machine learning to secure mobile devices against malware attacks. His research work has been published in prestigious venues such as IEEE Transactions, Springer Nature, and IEEE InfoCom. He has over seven years of teaching experience at different further education levels. Continuing his research, Husnain is interested in pursuing research in Image-based malware detection, Modeling adversarial attacks against ML-based malware detectors, Adversairially-aware ML-based malware detection, Digital Forensics, Secure ML and Randomization techniques for adversarially robust malware detection.
Education/Academic qualification
Cyber Security, PhD, Northumbria University
Award Date: 22 Dec 2022
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Collaborations and top research areas from the last five years
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Congestion-context-aware spatiotemporal detection of malicious flooding in vehicular communication networks
KHAN, M. D., NNAMOKO, N., RAFIQ, H. & ABUBAHIA, A., 11 Jun 2026, In: Vehicular Communications. 60, p. 1-28 28 p., 101045.Research output: Contribution to journal › Article (journal) › peer-review
Open AccessFile1 Downloads (Pure) -
AI-Driven Risk Assessments: Advancing Cybersecurity and Sustainability
Sunday Onwuajuese, O., RAFIQ, H., MCHALE, S., Obianuju Ugochukwu, P. & HUNTER-BARNETT, S., 14 May 2025, 16th International Conference on Global Security, Safety & Sustainability, ICGS3-24. Jahankhani, H. & Issac, B. (eds.). Cham: Springer, p. 327-337 11 p. (Advanced Sciences and Technologies for Security Applications).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding (ISBN) › peer-review
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Context-Aware Intrusion Detection in Vehicular Communication Networks: Enhanced Attack Modeling and Dataset
Khan, M. D., Ta, V.-T., Rafiq, H. & Nnamoko, N., 19 Sept 2025, In: Applied Artificial Intelligence. 39, 1, p. 1-27 27 p., e2538453.Research output: Contribution to journal › Article (journal) › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)17 Downloads (Pure) -
Credit Card Fraud Detection Using Deep Neural Network With Shapley Additive Explanations
Onyeoma, C. F., Rafiq, H., Jeremiah, D., Ta, V. T. & Usman, M., 17 Jan 2025, Proceedings of 21st International Conference on Frontiers of Information Technology (FIT'24). IEEE, p. 1-6 (2024 International Conference on Frontiers of Information Technology, FIT 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding (ISBN) › peer-review
Open AccessFile3 Link opens in a new tab Citations (Scopus)931 Downloads (Pure) -
Image-Based Android Malware Detection Using Deep Learning
Udeze, S., RAFIQ, H., Jeremiah, D., TA, V.-T. & USMAN, M., 14 May 2025, 16th International Conference on Global Security, Safety & Sustainability, ICGS3-24. Jahankhani, H. & Issac, B. (eds.). Cham: Springer, p. 213-225 13 p. (Advanced Sciences and Technologies for Security Applications).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding (ISBN) › peer-review
Open AccessFile3 Link opens in a new tab Citations (Scopus)8 Downloads (Pure)