Dr. Nguyen Dai Tho

Lecturer, Faculty of Information Technology.

Nguyen Dai Tho received the M.Sc. degree and the Ph.D degree in Information Technology from the French-speaking Institute of Information Technology, Hanoi, Vietnam in 1997, and from the Compiegne University of Technology, France in 2000, respectively. He is currently the head of the Laboratory of Information Security, Faculty of Information and Technology, VNU University of Engineering and Technology. His research interests include network security, computer security, peer-to-peer computing, wireless network, distributed algorithms.

Selected Publications

Nghi Phu Tran, Dai Tho Nguyen, Huy Hoang Le, Ngoc Toan Nguyen and Ngoc Binh Nguyen. An Efficient Algorithm to Extract Control Flow-based Features for IoT Malware Detection. The Computer Journal, 2020.

Dang Kien Hoang, Dai Tho Nguyen, and Duy Loi Vu. IoT Malware Classification Based on System Calls. In Proceedings of the 2020 RIVF International Conference on Computing and Communication Technologies, Ho Chi Minh City, Vietnam, 2020.

Viet Kieu Minh, Dai Tho Nguyen, and Thanh Thuy Nguyen. A Way to Estimate TCP Throughput under Low-Rate DDoS Attacks: One TCP Flow. In Proceedings of the 2020 RIVF International Conference on Computing and Communication Technologies, Ho Chi Minh City, Vietnam, 2020.

Tran Nghi Phu, Hoang Dang Kien, Ngo Quoc Dung, Nguyen Dai Tho and Nguyen Ngoc Binh. A Novel Framework to Classify Malware in MIPS Architecture-based IoT Devices. Security and Communication Networks, 2019.

Tran Nghi Phu, Ngo Quoc Dung, Le Van Hoang, Nguyen Dai Tho, and Nguyen Ngoc Binh. A System Emulation for Malware Detection in Routers. International Journal of Innovative Technology and Exploring Engineering (IJITEE), Vol. 8, No. 11, pages 32-40, 2019.

Tran Nghi Phu, Le Huy Hoang, Nguyen Ngoc Toan, Nguyen Dai Tho and Nguyen Ngoc Binh. CFDVex: A Novel Feature Extraction Method for Detecting Cross-Architecture IoT Malware. In Proceedings of the 10th International Symposium on Information and Communication Technology (SoICT 2019), pages 248-254, Ha Noi – Ha Long, Vietnam, 2019..

Tran Nghi Phu, Le Hoang, Nguyen Ngoc Toan, Nguyen Dai Tho, and Nguyen Ngoc Binh. C500-CFG: A Novel Algorithm to Extract Control Flow-Based Features for IoT Malware Detection. In Proceedings of the 19th International Symposium on Communications and Information Technologies (ISCIT 2019), pages 568-573, Ho Chi Minh City, Vietnam, 2019.

Nguyen Thi Thu Trang, Nguyen Dai Tho, and Vu Duy Loi. Malware Classification Based on N-gram and Machine Learning Techniques. Special Issue of Journal of Science and Technology on Electronics, Telecommunications and Information Technology, Vietnam Academy of Science and Technology and Posts and Telecommunications Institute of Technology, 2019. In Vietnamese.

Hoang Dang Kien, Nguyen Dai Tho, and Vu Duy Loi. IoT Malware Behavior Classification Based on System Calls. In Proceedings of the 22nd National Symposium on Selected Topics of Information Technology and Telecommunications, pages 211-215, Thai Binh, 2019. In Vietnamese.

Viet Kieu Minh, Dai Tho Nguyen, and Thanh Thuy Nguyen. Techniques for improving performance of the CPR-based approach. In Proceedings of the Ninth International Symposium on Information and Communication Technology (SoICT 2018), Da Nang, Vietnam, 2018.

Tran Nghi Phu, Ngo Quoc Dung, Hoang Dang Kien, Nguyen Ngoc Binh, and Nguyen Dai Tho. Detection of Malware on IoT Devices Based on System Calls and One Class SVM Classification. In Proceedings of the Third National Symposium on Information Security (SOIS 2018), Danang, 2018. In Vietnamese.

Xuan Nam Nguyen and Dai Tho Nguyen. A Generalized Feature Extraction Method for Anomaly-Based Network Intrusion Detection. Research and Development on Information & Communication Technology, Journal of Information & Communications, Ministry of Information and Communication, 2017.

Xuan Nam Nguyen and Dai Tho Nguyen. Intrusion Detection Using a More General Feature Extraction Method for Payload-based Anomaly One-Class Classifier. Proceedings of the Second National Symposium on Information Security (SOIS 2017), Best Paper Award, Ho Chi Minh City, 2017.

Viet Kieu Minh, Dai Tho Nguyen, and Thanh Thuy Nguyen. Using CPR metric to Detect and Filter Low-rate DDoS Flows. In Proceedings of the Eighth International Symposium on Information and Communication Technology (SoICT 2017), Nha Trang, Vietnam, 2017.

More information

Email: nguyendaitho@vnu.edu.vn