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2020 – today
- 2025
[j20]Hai Anh Tran, Xuan Cho Do
, Thanh Thuy Nguyen:
Dual-SPIR model for predicting APT malware spread in organization networks. Comput. Electr. Eng. 123: 110214 (2025)- [j19]Cho Do Xuan, Tran Thi Luong, Ma Cong Thanh:
Optimising source code vulnerability detection using deep learning and deep graph network. Connect. Sci. 37(1) (2025) - [j18]Cho Do Xuan, Dat Bui Quang, Vinh Dang Quang:
Large language models based vulnerability detection: How does it enhance performance? Int. J. Inf. Sec. 24(1): 69 (2025) - [j17]Nguyen Thanh Tung, Cho Do Xuan, Vu Thanh Long:
Ensemble learning-based adaptive and adversarial techniques for APT attack detection. Int. J. Inf. Sec. 24(3): 152 (2025) - [j16]Manh Vu Minh, Huy-Trung Nguyen, H. Viet Le, Tri Duc Nguyen, Xuan Cho Do:
A static method for detecting android malware based on directed API call. Int. J. Web Inf. Syst. 21(3): 183-204 (2025) - [j15]Hoa Cuong Nguyen, Cho Do Xuan, Vu Thanh Long, Nguyen Duy Dat, Tran Quang Anh:
A Novel Approach for APT Detection Based on Ensemble Learning Model. Stat. Anal. Data Min. 18(1) (2025) - 2024
- [j14]Xuan Cho Do, Hai Anh Tran, Phuong Thi Lan Nguyen:
A novel approach for predicting the spread of APT malware in the network. Appl. Intell. 54(23): 12293-12314 (2024) - [j13]Cho Xuan Do, Nguyen Trong Luu, Phuong Thi Lan Nguyen:
Optimizing software vulnerability detection using RoBERTa and machine learning. Autom. Softw. Eng. 31(2): 40 (2024) - [j12]Cho Do Xuan, Bui Van Cong:
An advanced computing approach for software vulnerability detection. Multim. Tools Appl. 83(39): 86707-86740 (2024) - [c3]Manh Vu Minh, Cho Do Xuan:
A New Approach for Android Malware Detection Based on Behavioral Profiling Techniques. RIVF 2024: 57-62 - 2023
- [j11]Hoa Cuong Nguyen, Cho Do Xuan, Long Thanh Nguyen, Hoa Dinh Nguyen:
A new framework for APT attack detection based on network traffic. J. Intell. Fuzzy Syst. 44(3): 3459-3474 (2023) - [j10]Cho Do Xuan, Hoa Dinh Nguyen:
Using knowledge graphs and contrastive learning for detecting APT Malware on Endpoint systems. J. Intell. Fuzzy Syst. 45(3): 4517-4533 (2023) - [j9]Cho Do Xuan, Mai Hoang Dao, Ma Cong Thanh, Bui Van Cong:
A novel approach for software vulnerability detection based on intelligent cognitive computing. J. Supercomput. 79(15): 17042-17078 (2023) - [c2]Bui Van Cong, Cho Do Xuan:
Detecting Software Vulnerabilities Based on Source Code Analysis using GCN Transformer. RIVF 2023: 112-117 - [c1]Hoa Cuong Nguyen, Zhou Li Hua, Cho Do Xuan:
Using Inference and Graph Convolutional Networks for APT Attack Detection. RIVF 2023: 301-305 - 2022
- [j8]Cho Do Xuan, D. T. Huong:
A new approach for APT malware detection based on deep graph network for endpoint systems. Appl. Intell. 52(12): 14005-14024 (2022) - [j7]Cho Do Xuan, Duc Duong:
Optimization of APT attack detection based on a model combining ATTENTION and deep learning. J. Intell. Fuzzy Syst. 42(4): 4135-4151 (2022) - [j6]Cho Do Xuan, D. T. Huong, Toan Nguyen:
A novel intelligent cognitive computing-based APT malware detection for Endpoint systems. J. Intell. Fuzzy Syst. 43(3): 3527-3547 (2022) - [j5]Cho Do Xuan, D. T. Huong, Duc Duong:
New approach for APT malware detection on the workstation based on process profile. J. Intell. Fuzzy Syst. 43(4): 4815-4834 (2022) - 2021
- [j4]Cho Do Xuan, Duc Duong, Xuan Dau Hoang:
A multi-layer approach for advanced persistent threat detection using machine learning based on network traffic. J. Intell. Fuzzy Syst. 40(6): 11311-11329 (2021) - [j3]Cho Do Xuan:
Detecting APT Attacks Based on Network Traffic Using Machine Learning. J. Web Eng. 20(1): 171-190 (2021) - [j2]Cho Do Xuan, Mai Hoang Dao:
A novel approach for APT attack detection based on combined deep learning model. Neural Comput. Appl. 33(20): 13251-13264 (2021) - 2020
- [j1]Cho Do Xuan, Mai Hoang Dao, Hoa Dinh Nguyen:
APT attack detection based on flow network analysis techniques using deep learning. J. Intell. Fuzzy Syst. 39(3): 4785-4801 (2020)
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