TRUONG HUU Tram personal page
TRUONG HUU Tram
Assistant Professor at Singapore Institute of Technology (SIT) and Computer Scientist at A*STAR
Lead for AI for Cybersecurity Initiative
- Research topics with IPAL
- AI for malware detection:
- Develop and deploy malware analysis infrastructures (distributed dynamic analysis infrastructure) to speed up malware analysis and feature extraction.
- Identify new feature vectors, which can be learnt by deep learning models (1D-CNN) for malware detection.
- Address the drawbacks of malware static analysis (due to obfuscation) and dynamic analysis (due to anti-virtualization)
- AI for network security:
- Develop tools for traffic feature extraction: features from packet headers (layer 2 and layer 3), TLS headers to handle encrypted traffic
- Develop deep learning models for network anomaly detection (GAN, Autoencoder, …)
- Develop deep learning models for attack classification (i.e., 1D-CNN for botnet classification)
- Develop semi-supervised learning model to address the problem of imbalanced data and less labeled data in network security
- Federated learning for data privacy preserving
- Develop a federated learning framework that enable parallel learning of a model on multiple distributed training datasets while protecting data privacy
- Adversarial learning in malware analysis and detection
- AI for next-gen networking: reinforcement learning for traffic engineering and network management
- Federated learning for edge systems
- Data sharing platforms/markets while protecting data privacy
- Self-supervised learning/continual learning for edges to address the resource constraints at edge and less labeled data constraints.
- Collaborators at IPAL
Son Vu – ENSEA, ETIS Lab
- Supervisions at IPAL
Yes, I would like to submit an internship (February – September) or PhD proposal to French students.
- Topic 1: Feature engineering for Windows malware analysis and detection using deep learning
- Requirements: Strong Python programming, strong background in malware analysis
- Topic 2: Reinforcement learning for adversarial malware generation
- Requirements: Strong C and Python programming, strong background in malware analysis
- Topic 3: Reinforcement learning for traffic routing in software-defined networks
- Requirements: Strong Python programming, strong background in networking
- Link to webpage
You can know more about me here: https://