Huy-Trung Nguyen

According to our database, Huy-Trung Nguyen authored at least 18 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

A Novel Network Attack Detection Platform Targeting the AMF Component in the 5G Network Infrastructure.

Huy-Trung Nguyen, Ngoc-Quan Nguyen, Viet H. Le, Tri D. Nguyen, Mai T. Nguyen, Hoang H. Nguyen

Concurr. Comput. Pract. Exp., January, 2026

A novel entropy Autoencoder-Synchronized Hashing Semi-supervised network for robust Android malware identification.

Huy-Trung Nguyen, Viet H. Le, Tri D. Nguyen

Array, 2026

2025

3D Dynamic Radio Map Prediction Using Vision Transformers for Low-Altitude Wireless Networks.

Nguyen Duc Minh Quang, Chang Liu, Huy-Trung Nguyen, Shuangyang Li, Derrick Wing Kwan Ng, Wei Xiang

CoRR, November, 2025

Web access as a service for CSA matter protocol: Bridging matter and the W3C Web of Things framework for smart home interoperability.

Huy-Trung Nguyen, Van-Ha Pham, Viet-Thang Vu, Thanh-Trung Nguyen

Internet Things, 2025

A static method for detecting android malware based on directed API call.

Manh Vu Minh, Huy-Trung Nguyen, Hai-Viet Le, Tri Duc Nguyen, Xuan Cho Do

Int. J. Web Inf. Syst., 2025

Proposed Data Roaming Network simulation Environment for 5G Network.

Huy-Trung Nguyen, Ngoc-Quan Nguyen, Viet H. Le, Sang D. Tran, Linh D. Hoang

Proceedings of the 2025 10th International Conference on Cloud Computing and Internet of Things, 2025

2024

Efficient Log-based Anomaly Detection with Knowledge Distillation.

Huy-Trung Nguyen, Lam-Vien Nguyen, Van-Hoang Le, Hongyu Zhang, Manh-Trung Le

Proceedings of the IEEE International Conference on Web Services, 2024

2023

Towards an efficient approach using graph-based evolutionary algorithm for IoT botnet detection.

Quoc-Dung Ngo, Huy-Trung Nguyen

Informatica (Slovenia), 2023

Anomaly Detection in Internet of Things Based on Logs Using Machine Learning and Deep Learning Techniques.

Huy-Trung Nguyen, Nguyen Viet Quoc

Proceedings of the 2023 4th International Conference on Computing, 2023

2022

An Advanced Computing Approach for IoT-Botnet Detection in Industrial Internet of Things.

Tu N. Nguyen, Quoc-Dung Ngo, Huy-Trung Nguyen, Long Giang Nguyen

IEEE Trans. Ind. Informatics, 2022

2021

Towards effectively feature graph-based IoT botnet detection via reinforcement learning.

Quoc-Dung Ngo, Huy-Trung Nguyen, Le-Cuong Nguyen

J. Intell. Fuzzy Syst., 2021

Toward an approach using graph-theoretic for IoT botnet detection.

Quoc-Dung Ngo, Huy-Trung Nguyen, Hoang-Anh Tran, Ngoc-Anh Pham, Xuan-Hoang Dang

Proceedings of the CNIOT 2021: 2nd International Conference on Computing, 2021

2020

A novel graph-based approach for IoT botnet detection.

Huy-Trung Nguyen, Quoc-Dung Ngo, Van-Hoang Le

Int. J. Inf. Sec., 2020

PSI-rooted subgraph: A novel feature for IoT botnet detection using classifier algorithms.

Huy-Trung Nguyen, Quoc-Dung Ngo, Doan-Hieu Nguyen, Van-Hoang Le

ICT Express, 2020

A survey of IoT malware and detection methods based on static features.

Quoc-Dung Ngo, Huy-Trung Nguyen, Van-Hoang Le, Doan-Hieu Nguyen

ICT Express, 2020

The average cut-rank of graphs.

Huy-Trung Nguyen, Sang-il Oum

Eur. J. Comb., 2020

A Graph-Based Approach for IoT Botnet Detection Using Reinforcement Learning.

Quoc-Dung Ngo, Huy-Trung Nguyen, Hoang-Long Pham, Hoang Hanh-Nhan Ngo, Doan-Hieu Nguyen, Cong Minh Dinh, Xuan-Hanh Vu

Proceedings of the Computational Collective Intelligence - 12th International Conference, 2020

2019

Towards a rooted subgraph classifier for IoT botnet detection.

Huy-Trung Nguyen, Doan-Hieu Nguyen, Quoc-Dung Ngo, Vu-Hai Tran, Van-Hoang Le

Proceedings of the 2019 7th International Conference on Computer and Communications Management, 2019