SDAID: Towards a Hybrid Signature and Deep Analysis-based Intrusion Detection Method. - Hoang V. Vo; Hoa Ngoc Nguyen; Tu N. Nguyen 001; Hanh Phuong Du (GLOBECOM, 2022)

EnsFace: An Ensemble Method of Deep Convolutional Neural Networks with Novel Effective Loss Functions for Face Recognition. - Anh Duc Nguyen; Dat Trong Nguyen; Hanh Phuong Du; Hai Nam Dao Ngoc; Hoa Ngoc Nguyen (SoICT, 2022)

A proactive method of the webshell detection and prevention based on deep traffic analysis. - Ha V. Le; Hanh Phuong Du; Hoa Ngoc Nguyen; Cuong N. Nguyen; Long V. Hoang (Int. J. Web Grid Serv., 2022)

μPEWFace: Parallel ensemble of weighted deep convolutional neural networks with novel loss functions for face-based authentication. - Hanh Phuong Du; Anh D. Nguyen; Dat T. Nguyen; Hoa Ngoc Nguyen (Image Vis. Comput., 2023)

AI-powered intrusion detection in large-scale traffic networks based on flow sensing strategy and parallel deep analysis. - Hoang V. Vo; Hanh Phuong Du; Hoa Ngoc Nguyen (J. Netw. Comput. Appl., 2023)

APELID: Enhancing real-time intrusion detection with augmented WGAN and parallel ensemble learning. - Hoang V. Vo; Hanh Phuong Du; Hoa Ngoc Nguyen (Comput. Secur., 2024)

A Novel Deep Ensemble Learning to Enhance User Authentication in Autonomous Vehicles. - Hanh Phuong Du; Anh D. Nguyen; Dat Trong Nguyen; Hoa Ngoc Nguyen; Dung H. P. Nguyen (IEEE Trans Autom. Sci. Eng., 2024)

MDOB: Enhancing resilient and explainable AI-powered malware detection using feature set optimization and Mutual Deep＋Boosting Ensemble Inference. - Hoang V. Vo; Hanh Phuong Du; Hoa N. Nguyen (J. Inf. Secur. Appl., 2025)