APT attack detection based on flow network analysis techniques using deep learning. - Cho Do Xuan; Mai Hoang Dao; Hoa Dinh Nguyen (J. Intell. Fuzzy Syst., 2020)

A multi-layer approach for advanced persistent threat detection using machine learning based on network traffic. - Cho Do Xuan; Duc Duong; Xuan Dau Hoang (J. Intell. Fuzzy Syst., 2021)

Detecting APT Attacks Based on Network Traffic Using Machine Learning. - Cho Do Xuan (J. Web Eng., 2021)

A novel approach for APT attack detection based on combined deep learning model. - Cho Do Xuan; Mai Hoang Dao (Neural Comput. Appl., 2021)

A new approach for APT malware detection based on deep graph network for endpoint systems. - Cho Do Xuan; D. T. Huong (Appl. Intell., 2022)

Optimization of APT attack detection based on a model combining ATTENTION and deep learning. - Cho Do Xuan; Duc Duong (J. Intell. Fuzzy Syst., 2022)

New approach for APT malware detection on the workstation based on process profile. - Cho Do Xuan; D. T. Huong; Duc Duong (J. Intell. Fuzzy Syst., 2022)

A novel intelligent cognitive computing-based APT malware detection for Endpoint systems. - Cho Do Xuan; D. T. Huong; Toan Nguyen (J. Intell. Fuzzy Syst., 2022)

Detecting Software Vulnerabilities Based on Source Code Analysis using GCN Transformer. - Bui Van Cong; Cho Do Xuan (RIVF, 2023)

Using Inference and Graph Convolutional Networks for APT Attack Detection. - Hoa Cuong Nguyen; Zhou Li Hua; Cho Do Xuan (RIVF, 2023)

A new framework for APT attack detection based on network traffic. - Hoa Cuong Nguyen; Cho Do Xuan; Long Thanh Nguyen; Hoa Dinh Nguyen (J. Intell. Fuzzy Syst., 2023)

Using knowledge graphs and contrastive learning for detecting APT Malware on Endpoint systems. - Cho Do Xuan; Hoa Dinh Nguyen (J. Intell. Fuzzy Syst., 2023)

A novel approach for software vulnerability detection based on intelligent cognitive computing. - Cho Do Xuan; Mai Hoang Dao; Ma Cong Thanh; Bui Van Cong (J. Supercomput., 2023)

A New Approach for Android Malware Detection Based on Behavioral Profiling Techniques. - Manh Vu Minh; Cho Do Xuan (RIVF, 2024)

Optimizing software vulnerability detection using RoBERTa and machine learning. - Cho Xuan Do; Nguyen Trong Luu; Phuong Thi Lan Nguyen (Autom. Softw. Eng., 2024)

An advanced computing approach for software vulnerability detection. - Cho Do Xuan; Bui Van Cong (Multim. Tools Appl., 2024)

A novel approach for predicting the spread of APT malware in the network. - Xuan Cho Do; Hai Anh Tran; Phuong Thi Lan Nguyen (Appl. Intell., 2024)

Dual-SPIR model for predicting APT malware spread in organization networks. - Hai Anh Tran; Xuan Cho Do; Thanh Thuy Nguyen (Comput. Electr. Eng., 2025)

Optimising source code vulnerability detection using deep learning and deep graph network. - Cho Do Xuan; Tran Thi Luong; Ma Cong Thanh (Connect. Sci., 2025)

A static method for detecting android malware based on directed API call. - Manh Vu Minh; Huy-Trung Nguyen; H. Viet Le; Tri Duc Nguyen; Xuan Cho Do (Int. J. Web Inf. Syst., 2025)

Large language models based vulnerability detection: How does it enhance performance? - Cho Do Xuan; Dat Bui Quang; Vinh Dang Quang (Int. J. Inf. Sec., 2025)

A Novel Approach for APT Detection Based on Ensemble Learning Model. - Hoa Cuong Nguyen; Cho Do Xuan; Vu Thanh Long; Nguyen Duy Dat; Tran Quang Anh (Stat. Anal. Data Min., 2025)

Ensemble learning-based adaptive and adversarial techniques for APT attack detection. - Nguyen Thanh Tung; Cho Do Xuan; Vu Thanh Long (Int. J. Inf. Sec., 2025)

A novel ensemble learning-based model for APT attack detection. - Vu Thanh Duc; Cho Do Xuan; Vu Thanh Long (Memetic Comput., 2025)

Two-stage APT malware propagation model in computer networks. - Cho Do Xuan; Hai-Anh Tran; Phuong Thi Lan Nguyen; Kim-Khoa Nguyen (Neural Comput. Appl., 2025)