Proposing Automatic Dataset Generation System to Support Android Sensitive Data Leakage Detection Systems. - Nguyen Tan Cam; Nghi Hoang Khoa; Le Duc Thinh; Van-Hau Pham; Tuan A. Nguyen (ICCAI, 2019)

Forensic analysis of TikTok application to seek digital artifacts on Android smartphone. - Nghi Hoang Khoa; Phan The Duy; Hien Do Hoang; Do Thi Thu Hien; Van-Hau Pham (RIVF, 2020)

Detect Android malware by using deep learning: Experiment and Evaluation. - Nghi Hoang Khoa; Nguyen Tan Cam; Van-Hau Pham; Anh Gia-Tuan Nguyen (ICMLSC, 2021)

A Deep Transfer Learning Approach for Flow-Based Intrusion Detection in SDN-Enabled Network. - Phan The Duy; Nghi Hoang Khoa; Hoang Hiep; Nguyen Ba Tuan; Hien Do Hoang; Do Thi Thu Hien; Van-Hau Pham (SoMeT, 2021)

DIGFuPAS: Deceive IDS with GAN and function-preserving on adversarial samples in SDN-enabled networks. - Phan The Duy; Le Khac Tien; Nghi Hoang Khoa; Do Thi Thu Hien; Anh Gia-Tuan Nguyen; Van-Hau Pham (Comput. Secur., 2021)

UIT-ADF: A System for Android Device Forensics. - Nguyen Tan Cam; Pham Nhat Duy; Nghi Hoang Khoa; Le Hoang Vien; Phan Thanh Truoc; Trinh Gia Huy (ICO, 2022)

uitXkernel: Android Kernel Forensic for Security Analysis Purposes. - Nguyen Tan Cam; To Ung Vu; Nghi Hoang Khoa; Van-Hau Pham (ICO, 2022)

Fool Your Enemies: Enable Cyber Deception and Moving Target Defense for Intrusion Detection in SDN. - Phan The Duy; Hien Do Hoang; Nghi Hoang Khoa; Do Thi Thu Hien; Van-Hau Pham (ISCIT, 2022)

Cyber Threat Intelligence for Proactive Defense against Adversary in SDN-assisted IIoTs context. - Nghi Hoang Khoa; Doan Minh Trung; Bui Cong Nguyen Khoa; To Thi My Au; Van-Giau Ung; Phan The Duy; Van-Hau Pham (RIVF, 2022)

Leveraging Reinforcement Learning and Generative Adversarial Networks to Craft Mutants of Windows Malware against Black-box Malware Detectors. - The Duy Phan; Tran Duc Luong; Nguyen Hoang Quoc An; Quyen Nguyen Huu; Nghi Hoang Khoa; Van-Hau Pham (SoICT, 2022)

A Method of Mutating Windows Malwares using Reinforcement Learning with Functionality Preservation. - Do Thi Thu Hien; The Duy Phan; Hao Le Anh; Lan Nguyen Duy; Nghi Hoang Khoa; Van-Hau Pham (SoICT, 2022)

A Multimodal Deep Learning Approach for Efficient Vulnerability Detection in Smart Contracts. - Le Cong Trinh; Vu Trung Kien; Trinh Minh Hoang; Nguyen Huu Quyen; Nghi Hoang Khoa; Phan The Duy; Van-Hau Pham (GLOBECOM, 2023)

Android Malware Category and Family Classification Using Static Analysis. - Cong-Danh Nguyen; Nghi Hoang Khoa; Khoa Nguyen-Dang Doan; Nguyen Tan Cam (ICOIN, 2023)

On the effectiveness of transferability of adversarial Android malware samples against learning-based detectors. - Doan Minh Trung; Nghi Hoang Khoa; Dang Bui Tan Hai; Phan The Duy; Nguyen Tan Cam; Van-Hau Pham (MAPR, 2023)

XFedHunter: An Explainable Federated Learning Framework for Advanced Persistent Threat Detection in SDN. - Huynh Thai Thi; Ngo Duc Hoang Son; Phan The Duy; Nghi Hoang Khoa; Khoa Ngo-Khanh; Van-Hau Pham (CoRR, 2023)

Investigating on the robustness of flow-based intrusion detection system against adversarial samples using Generative Adversarial Networks. - Phan The Duy; Nghi Hoang Khoa; Do Thi Thu Hien; Hien Do Hoang; Van-Hau Pham (J. Inf. Secur. Appl., 2023)

FedChain-Hunter: A reliable and privacy-preserving aggregation for federated threat hunting framework in SDN-based IIoT. - Phan The Duy; Nguyen Huu Quyen; Nghi Hoang Khoa; Dung Tran Tuan; Van-Hau Pham (Internet Things, 2023)

AAGAN: Android Malware Generation System Based on Generative Adversarial Network. - Doan Minh Trung; Nghi Hoang Khoa; Phan The Duy; Van-Hau Pham; Nguyen Tan Cam (Vietnam. J. Comput. Sci., 2024)

FedKD-IDS: A robust intrusion detection system using knowledge distillation-based semi-supervised federated learning and anti-poisoning attack mechanism. - Nguyen Huu Quyen; Phan The Duy; Ngo Thao Nguyen; Nghi Hoang Khoa; Van-Hau Pham (Inf. Fusion, 2025)

Vulnsense: efficient vulnerability detection in ethereum smart contracts by multimodal learning with graph neural network and language model. - Phan The Duy; Nghi Hoang Khoa; Nguyen Huu Quyen; Le Cong Trinh; Vu Trung Kien; Trinh Minh Hoang; Van-Hau Pham (Int. J. Inf. Sec., 2025)

On the effectiveness of adversarial samples against ensemble learning-based windows PE malware detectors. - Trong-Nghia To; Danh Le Kim; Do Thi Thu Hien; Nghi Hoang Khoa; Hien Do Hoang; Phan The Duy; Van-Hau Pham (Int. J. Inf. Sec., 2025)