M. Sc. Trung Phan Van

Mitglied der Forschungsgruppe Network Security
-
Telefon:+49 371 531-33600
-
E-Mail:
-
Adresse:Reichenhainer Straße 70, 09126 Chemnitz
-
Raum:C25.410 (alt: 2/W410)
-
WWW:
-
vCard:
- Network Security with Deep Reinforcement Learning (DRL): Developing DRL-based methods to enhance intrusion detection, anomaly detection and threat response in dynamic network environments.
- Federated Learning for Network Security: Implementing privacy-preserving, decentralized learning techniques for secure communication networks and distributed IoT systems.
- Transfer Learning in Networking: Applying transfer learning to optimize resource utilization and accelerate model training across diverse network scenarios, such as SDN and IoT.
- Software-Defined Networking (SDN): Leveraging SDN to improve network programmability, scalability, and resilience against cyber threats through AI-driven solutions.
- 5G/6G Networks: Exploring innovative approaches for enhancing security, efficiency, and reliability in next-generation wireless networks using AI and machine learning.
- SENDATE. (Secure Networking for a Data Centre Cloud in Europe). European Celtic-Plus project funded from 2016 till 2019 by the German Federal Ministry of Education and Research BMBF (Bundesministerium für Bildung und Forschung). Project status: Completed. Role: Research Assistant.
- AI-NET-PROTECT. (Artificial Intelligence Networking Providing Resilient and Secure Networks to Critical Infrastructures). European Celtic-Plus project funded from 2021 till 2024 by the German Federal Ministry of Education and Research BMBF (Bundesministerium für Bildung und Forschung). Project status: Completed. Role: Research Assistant.
- MNT-Pro. (Mobile Network Protector). A cooperation project between ipoque GmbH and Chemnitz University of Technology funded from 2022 till 2025 by Federal Office for Information Security (BSI). Project status: Ongoing. Role: Research Assistant.
- RADARS. (5G/6G Real-time Anomaly Detection and Response with Security-Baselining). A cooperation project between Dacoso GmbH and Chemnitz University of Technology funded from 2024 till 2025 by Federal Office for Information Security (BSI). Project status: Ongoing. Role: Research Assistant.
- SUSTAINET.(Sustainable Technologies for Advanced Resilient and Energy-Efficient Networks). European Celtic-Plus project funded from 2025 till 2027 by the German Federal Ministry of Education and Research BMBF (Bundesministerium für Bildung und Forschung). Project status: Ongoing. Role: Research Assistant.
# | Titel | Autor(en) | Jahr |
---|---|---|---|
1 | 5G Security Landscape: Investigating Attack Vectors in 5G and Beyond Networks
5G Security Landscape: Investigating Attack Vectors in 5G and Beyond Networks. - Universität Würzburg, 2024. -KuVS Fachgespräch - Würzburg Workshop on 6G Networks (WueWoWAS’24) |
Hajizadeh, Mehrdad Phan, Trung V. Nugraha, Beny Venkatesh Jnanashree, Abhishek Niehoff, Tim Krause, Oliver Mieth, Martin Bauschert, Thomas |
2024 |
2 | DeepAir: Deep Reinforcement Learning for Adaptive Intrusion Response in Software-Defined Networks
In: IEEE Transactions on Network and Service Management. - Institute of Electrical and Electronics Engineers (IEEE). 2022, S. 1 - 1 |
Phan, Trung V. Bauschert, Thomas |
2022 |
3 | DeepMatch: Fine-grained Traffic Flow Measurement in SDN with Deep Dueling Neural Networks
In: IEEE Journal on Selected Areas in Communications. - Institute of Electrical and Electronics Engineers (IEEE). - 39. 2020, 7, S. 1 - 20 |
Phan, Trung V. Nguyen, Tri Gia Bauschert, Thomas |
2020 |
4 | DeepGuard: Efficient Anomaly Detection in SDN With Fine-Grained Traffic Flow Monitoring
In: IEEE Transactions on Network and Service Management. - Institute of Electrical and Electronics Engineers (IEEE). - 17. 2020, 3, S. 1349 - 1362 |
Phan, Trung V. Nguyen, Tri Gia Dao, Nhu-Ngoc Huong, Truong Thu Thanh, Nguyen Huu Bauschert, Thomas |
2020 |
5 | Q-TRANSFER: A Novel Framework for Efficient Deep Transfer Learning in Networking
2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 19-21 Feb. 2020, Fukuoka, Japan. - IEEE, 2020, pp. 146 - 151 |
Phan Trung, V. Sultana, Shabnam Nguyen, Tri Gia Bauschert, Thomas |
2020 |
6 | Q-MIND: Defeating Stealthy DoS Attacks in SDN with a Machine-Learning Based Defense Framework
2019 IEEE Global Communications Conference (GLOBECOM), 9-13 Dec. 2019, Waikoloa, HI, USA. - IEEE, 2019 |
Phan, Trung Van Gias, Rayhan T. M. Islam, Syed Tasnimul Huong, Truong Thu Thanh, Nguyen Huu Bauschert, Thomas |
2019 |
7 | Q-DATA: Enhanced Traffic Flow Monitoring in Software-Defined Networks applying Q-learning
2019 15th International Conference on Network and Service Management (CNSM), 21-25 Oct. 2019, Halifax, NS, Canada |
Phan, Trung V. Islam, Syed Tasnimul Nguyen, Tri Gia Bauschert, Thomas |
2019 |
8 | Destination-aware Adaptive Traffic Flow Rule Aggregation in Software-Defined Networks
2019 International Conference on Networked Systems (NetSys), Munich, Germany, 2019, pp. 1-6 |
Trung, Phan Van Hajizadeh, Mehrdad Tuan Khai, Nguyen Bauschert, Thomas |
2019 |
9 | A Novel Impact Analysis Approach for SDN-based Networks
IEEE NetSoft 2019 - 1st Workshop on Cyber-Security Threats, Trust and Privacy Management in Software-Defined and Virtualized Infrastructures (SecSoft), 24-28 June 2019, Paris, 10-18, 2019 |
Nugraha, Beny Hajizadeh, Mehrdad Phan, Trung Van Bauschert, Thomas |
2019 |
10 | Probability Analysis of Successful Cyber Attacks in SDN-based Networks
IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), Verona, 27-29 Nov. 2018. - IEEE |
Hajizadeh, Mehrdad Phan, Trung V. Bauschert, Thomas |
2018 |