Phuong Bac Ta

Orcid: 0000-0003-3991-5286

Affiliations:
  • Soongsil University, Department of Electronic Engineering, Seoul, Korea


According to our database1, Phuong Bac Ta authored at least 12 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Design of Dependency-Aware Package Orchestration Framework for Cloud-Native Network Functions.
IEEE Access, 2026

A Dynamic Lifecycle-Aware Disaster Recovery Framework for Stateful IoT Applications in Edge Environments.
IEEE Access, 2026

A Design of Cost-Efficient GPU-Based Training Workloads on Preemptible Instances via Adaptive Live Migration.
Proceedings of the 40th International Conference on Information Networking, 2026

2025
A Design of Workflow-Based Automated Failure Recovery Framework in IoT Edge Environment.
IEEE Access, 2025

Demo: GitOps-Based Automation for Distributed NFs Reconfiguration in Cloud-Native O-RAN.
Proceedings of the 33rd IEEE International Conference on Network Protocols, 2025

2023
A-RCL: An Adaptive Incident Prediction and Automated Root Cause Localization System for Cloud Environment.
Proceedings of the NOMS 2023, 2023

2022
Light-weight federated learning-based anomaly detection for time-series data in industrial control systems.
Comput. Ind., 2022

Federated Learning-Based Explainable Anomaly Detection for Industrial Control Systems.
IEEE Access, 2022

Serverless Computing Approach for Deploying Machine Learning Applications in Edge Layer.
Proceedings of the International Conference on Information Networking, 2022

2021
Detecting cyberattacks using anomaly detection in industrial control systems: A Federated Learning approach.
Comput. Ind., 2021

LocKedge: Low-Complexity Cyberattack Detection in IoT Edge Computing.
IEEE Access, 2021

2019
A Data-Driven Approach for Network Intrusion Detection and Monitoring Based on Kernel Null Space.
Proceedings of the Industrial Networks and Intelligent Systems, 2019


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