A Data-Driven Approach for Network Intrusion Detection and Monitoring Based on Kernel Null Space. - Thu Huong Truong; Phuong Bac Ta; Quoc-Thông Nguyen; Huu Du Nguyen 001; Kim Phuc Tran (INISCOM, 2019)

LocKedge: Low-Complexity Cyberattack Detection in IoT Edge Computing. - Truong Thu Huong; Phuong Bac Ta; Dao Minh Long; Bui Doan Thang; Nguyen T. Binh; Tran Duc Luong; Kim Phuc Tran (IEEE Access, 2021)

Detecting cyberattacks using anomaly detection in industrial control systems: A Federated Learning approach. - Truong Thu Huong; Phuong Bac Ta; Dao Minh Long; Tran Duc Luong; Nguyen Minh Dan; Le Anh Quang; Le Thanh Cong; Bui Doan Thang; Kim Phuc Tran (Comput. Ind., 2021)

Federated Learning-Based Explainable Anomaly Detection for Industrial Control Systems. - Truong Thu Huong; Phuong Bac Ta; Hai-Dang Kieu; Nguyen Viet Hoang; Nguyen Xuan Hoang; Nguyen Tai Hung; Kim Phuc Tran (IEEE Access, 2022)

Light-weight federated learning-based anomaly detection for time-series data in industrial control systems. - Thu-Huong Truong; Phuong Bac Ta; Le Anh Quang; Nguyen Minh Dan; Le Thanh Cong; Nguyen Xuan Hoang; Do Thu Ha; Nguyen Tai Hung; Kim Phuc Tran (Comput. Ind., 2022)

A-RCL: An Adaptive Incident Prediction and Automated Root Cause Localization System for Cloud Environment. - Phuong Bac Ta; Ha-Duong Phung; Younghan Kim 002 (NOMS, 2023)

Demo: GitOps-Based Automation for Distributed NFs Reconfiguration in Cloud-Native O-RAN. - Vitumbiko Mafeni; Phuong Bac Ta; Younghan Kim 002 (ICNP, 2025)

A Design of Workflow-Based Automated Failure Recovery Framework in IoT Edge Environment. - Phuong Bac Ta; Vitumbiko Mafeni; Young-Han Kim 002 (IEEE Access, 2025)