M. Sc. Beny Nugraha
M. Sc. Beny Nugraha
wissenschaftlicher Mitarbeiter und DoktorandMitglied der Forschungsgruppe Network Security
-
Telefon:+49 371 531-32089
-
E-Mail:
-
Adresse:Reichenhainer Straße 70, 09126 Chemnitz
-
Raum:C25.410 (alt: 2/W410)
-
WWW:
-
vCard:
Beny Nugraha is Research Assistant and PhD student at the Chair of Communication Networks at the Technical University of Chemnitz (TUC), Germany. He worked as Research Assistant at Fraunhofer SIT, Darmstadt, and as full-time lecturer at Mercu Buana University, Indonesia. He holds a M.Sc. degree in Electrical Engineering and Information Technology from a dual-degree program between the Bandung Institute of Technology (Indonesia) and the Hochschule Darmstadt (Germany). His research interests include network security, deep learning algorithms, SDN-based networks, and risk assessment methodologies, with focus on developing robust and explainable AI-based Intrusion Detection Systems.
- Robust AI-based IDS: Developing advanced AI-driven Intrusion Detection Systems (IDS) for detecting Distributed Denial of Service (DDoS) attacks, emphasizing robustness against diverse attack patterns.
- Resilient AI-based IDS: Enhancing the adaptability and resilience of IDS through adversarial machine learning techniques, such as Conditional Tabular Generative Adversarial Networks (CTGAN), and continual learning frameworks to counter evolving cyber threats.
- Privacy-Preserving AI-based IDS: Leveraging Federated Learning (FL) to implement privacy-preserving, decentralized intrusion detection systems capable of handling non-IID and imbalanced data scenarios.
- Efficient and Explainable AI-based IDS: Integrating eXplainable Artificial Intelligence (XAI) techniques, including Shapley Additive Explanations (SHAP) and Local Interpretable Model-agnostic Explanations (LIME), to improve the interpretability, transparency, and computational efficiency of AI-based IDS frameworks.
- SENDATE. April 2016 - May 2019 (Status: Completed). Role: Research Assistant.
- AI-NET-PROTECT. June 2021 - August 2024 (Status: Completed). Role: Research Assistant.
- MNT-Pro. December 2022 - June 2025 (Status: In progress). Role: Research Assistant.
- RADARS. June 2024 - September 2025 (Status: In progress). Role: Research Assistant.
- SUSTAINET. January 2025 - December 2027 (Status: In progress). Role: Research Assistant.
| # | Titel | Autor(en) | Jahr |
|---|---|---|---|
| 1 | An Efficient Explainable Artificial Intelligence (XAI)-Based Framework for a Robust and Explainable IDS
2024 8th Cyber Security in Networking Conference (CSNet), 04-06 December 2024, Paris, France. - IEEE, 2024 |
Nugraha, Beny Jnanashree, Abhishek Venkatesh Bauschert, Thomas |
2025 |
| 2 | 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 |
| 3 | Leveraging Federated Learning and Variational Autoencoders for an Enhanced Anomaly Detection System
2024 IEEE 10th International Conference on Network Softwarization (NetSoft), 24-28 June 2024, St. Louis (USA), pp. 166-174. - IEEE, 2024 |
Nugraha, Beny Kota, Kavya Bauschert, Thomas |
2024 |
| 4 | Improving the Detection of Unknown DDoS Attacks through Continual Learning
2023 IEEE International Conference on Cyber Security and Resilience (CSR), Venice, Italy. - IEEE, 31 July 2023 - 02 August 2023, pp. 477 - 483 |
Nugraha, Beny Yadav, Krishna Patil, Parag Bauschert, Thomas |
2023 |
| 5 | Detecting Adversarial DDoS Attacks in Software- Defined Networking Using Deep Learning Techniques and Adversarial Training
IEEE CSR Workshop on Data Science for Cyber Security (DS4CS), 26-28 July 2021, Virtual Conference. - IEEE, 2021 |
Nugraha, Beny Kulkarni, Naina Gopikrishnan, Akash |
2021 |
| 6 | Deep Learning-based Slow DDoS Attack Detection in SDN-based Networks
2020 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), 10-12 Nov. 2020, Leganes - Madrid, Spain, Spain (Virtual Conference), pp. 51 - 56. - IEEE, 2020 |
Nugraha, Beny Murthy, Rathan Narasimha |
2020 |
| 7 | Performance Evaluation of Botnet Detection using Deep Learning Techniques
2020 11th International Conference on Network of the Future (NoF), 12-14 Oct. 2020, Virtual Conference, pp. 141-149. - IEEE |
Nugraha, Beny Nambiar, Anshitha Bauschert, Thomas |
2020 |
| 8 | 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 |
