The multipolling mechanism based on the prioritization for WLAN network with multiple access points. - Duc Tran Le (ICOIN, 2017)

Flying Ad-Hoc Network for Emergency Based on IEEE 802.11p Multichannel MAC Protocol. - Truong Duy Dinh; Duc Tran Le; Thi Thu Thao Tran; Ruslan Kirichek (DCCN, 2019)

Research on Using the AODV Protocol for a LoRa Mesh Network. - Van-Dai Pham; Duc Tran Le; Ruslan Kirichek; Alexander Shestakov (DCCN, 2020)

Positioning Methods Based on Flying Network for Emergencies. - Ruslan Kirichek; Truong Duy Dinh; Van-Dai Pham; Maxim Zakharov; Duc Tran Le; Andrey Koucheryavy (ICACT, 2020)

Evaluation of Routing Protocols for Multi-hop Communication in LPWAN. - Van-Dai Pham; Duc Tran Le; Ruslan Kirichek (NEW2AN/ruSMART, 2020)

LoRa Link Quality Estimation Based on Support Vector Machine. - Van-Dai Pham; Phuc Hao Do; Duc Tran Le; Ruslan Kirichek (DCCN, 2021)

Determination of Subscribers Coordinates using Flying Network for Emergencies. - Truong Duy Dinh; Vladimir M. Vishnevsky; Van-Dai Pham; Duc Tran Le; Ruslan Kirichek; Andrey Koucheryavy (ICACT, 2021)

An Efficient Feature Extraction Method for Attack Classification in IoT Networks. - Phuc Hao Do; Truong Duy Dinh; Duc Tran Le; Van-Dai Pham; Lyudmila Myrova; Ruslan Kirichek (ICUMT, 2021)

A Combined Attack Scenario to Exploit the Join Procedure of LoRaWAN. - Duc Tran Le; Truong Duy Dinh; Van-Dai Pham; Ruslan Kirichek; Egor Filin; Alexander Shestakov (ICUMT, 2021)

Blockchain-Driven Hybrid Model for IoT Authentication. - Truong Duy Dinh; Duc Tran Le; Khanh Quoc Dang; Vladimir M. Vishnevsky; Ruslan Kirichek (NEW2AN, 2022)

Malware Spreading Model for Routers in Wi-Fi Networks. - Duc Tran Le; Thong Trung Tran; Khanh Quoc Dang; Reem Alkanhel; Ammar Muthanna (IEEE Access, 2022)

DeepPlace: Deep reinforcement learning for adaptive flow rule placement in Software-Defined IoT Networks. - Tri Gia Nguyen; Trung V. Phan; Dinh Thai Hoang; Hai Hoang Nguyen; Duc Tran Le (Comput. Commun., 2022)

Utilizing InfoGAN and PE Header Features for Synthetic Ransomware Image Generation: An Experimental Study. - Viet Trung Le; Phuc Hao Do; Sylvestre Uwizeyemungu; Thang Le Dinh; Duc Tran Le (FDSE, 2023)

A Horizontal Federated-Learning Model for Detecting Abnormal Traffic Generated by Malware in IoT Networks. - Phuc Hao Do; Duc Tran Le; Vladimir M. Vishnevsky; Aleksandr Berezkin; Ruslan Kirichek (ICACT, 2023)

Unveiling the Power of Pretrained Models for Neural Machine Translation in Vietnamese Language: A Comparative Analysis. - Phuc Hao Do; Pham Van Quan; Duc Tran Le; Truong Duy Dinh; Nang Hung Van Nguyen; Minh Tuan Pham (RIVF, 2023)

SafeDocs: A Machine Learning-Based Framework for Malicious PDF Detection Tailored for SMEs. - Duc Tran Le; Thang Le Dinh; Sylvestre Uwizeyemungu; Xuan Hung Doan; Truong Duy Dinh (RIVF, 2023)

Leveraging FFT and Hybrid EfficientNet for Enhanced Action Recognition in Video Sequences. - Nang Hung Van Nguyen; Phuc Hao Do; Van-Nam Hoang; Aleksandr Borodko; Duc Tran Le (SoICT, 2023)

A Methodological Framework for Designing Human-Centered Artificial Intelligence Services. - Thang Le Dinh; Duc Tran Le; Jolita Ralyté (ER (Workshops), 2024)

A Horizontal Federated Learning Approach to IoT Malware Traffic Detection: An Empirical Evaluation with N-BaIoT Dataset. - Phuc Hao Do; Duc Tran Le; Vladimir M. Vishnevsky; Aleksandr Berezkin; Ruslan Kirichek (ICACT, 2024)

Visualizing Portable Executable Headers for Ransomware Detection: A Deep Learning-Based Approach. - Tien Quang Dam; Nghia Thinh Nguyen; Viet Trung Le; Duc Tran Le; Sylvestre Uwizeyemungu; Thang Le Dinh (J. Univers. Comput. Sci., 2024)

Developing Effective Techniques for the Recognition of Shanghai Dialect Text. - Yida Bao; Zheng Zhang; Mohammad Arifuzzaman; Duc Tran Le; Qi Li; Masuzyo Mwanza; Jiaqing Lin; Philippe Gaillard; Jiafeng Ye (IEEE Access, 2025)

Classifying IoT Botnet Attacks With Kolmogorov-Arnold Networks: A Comparative Analysis of Architectural Variations. - Phuc Hao Do; Duc Tran Le; Truong Duy Dinh; Van-Dai Pham (IEEE Access, 2025)