Cho Do Xuan

According to our database, Cho Do Xuan authored at least 23 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., June, 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., February, 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., February, 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

Optimising source code vulnerability detection using deep learning and deep graph network.

Cho Do Xuan, Tran Thi Luong, Ma Cong Thanh

Connect. Sci., 2025

Dual-SPIR model for predicting APT malware spread in organization networks.

Hai Anh Tran, Xuan Cho Do, Thanh Thuy Nguyen

Comput. Electr. Eng., 2025

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., December, 2024

An advanced computing approach for software vulnerability detection.

Cho Do Xuan, Bui Van Cong

Multim. Tools Appl., November, 2024

Optimizing software vulnerability detection using RoBERTa and machine learning.

Cho Xuan Do, Nguyen Trong Luu, Phuong Thi Lan Nguyen

Autom. Softw. Eng., November, 2024

A New Approach for Android Malware Detection Based on Behavioral Profiling Techniques.

Manh Vu Minh, Cho Do Xuan

Proceedings of the International Conference on Computing and Communication Technologies, 2024

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., October, 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 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 Inference and Graph Convolutional Networks for APT Attack Detection.

Hoa Cuong Nguyen, Zhou Li Hua, Cho Do Xuan

Proceedings of the International Conference on Computing and Communication Technologies, 2023

Detecting Software Vulnerabilities Based on Source Code Analysis using GCN Transformer.

Bui Van Cong, Cho Do Xuan

Proceedings of the International Conference on Computing and Communication Technologies, 2023

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

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

Optimization of APT attack detection based on a model combining ATTENTION and deep learning.

Cho Do Xuan, Duc Duong

J. Intell. Fuzzy Syst., 2022

A new approach for APT malware detection based on deep graph network for endpoint systems.

Cho Do Xuan, D. T. Huong

Appl. Intell., 2022

2021

A novel approach for APT attack detection based on combined deep learning model.

Cho Do Xuan, Mai Hoang Dao

Neural Comput. Appl., 2021

Detecting APT Attacks Based on Network Traffic Using Machine Learning.

Cho Do Xuan

J. Web Eng., 2021

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

2020

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