Nhân sự

• Trưởng Phòng thí nghiệm An toàn Thông tin
• Network & application security
• AI for security
• Security of AI
• Blockchain
• Cloud computing

• Software Security
• Blockchain
• Digital forensics
• Network Security
• Cyber Deception
• Intrusion Detection System (IDS)
• Malware Detection and Analysis
• Machine Learning-based Cybersecurity
• Adversarial Machine Learning (Machine Learning Security)
• Private Machine Learning (Federated Learning)

• Malware analysis
• Sandbox techniques for malware analysis
• Data leakage detection in Android apps
• Network security
• Machine Learning in Malware detection
• Digital Forensics
• IoT Security

• Network Security and Administration
• Moving Target Defense
• Cyber Deception
• Virtualization & Cloud
• Web Security

• Software Defined Networking
• ML for CyberSecurity
• Assembly
• Windows Malware

• Android Security
• Malware Analysis and Detection
• Web application security
• Wireless Security
• ML/DL for Security
• Generative Adversarial Networks (GANs)

• Android Security
• Malware Analysis and Detection
• Digital Forensics
• ML/DL for Security
• Generative Adversarial Networks (GANs)

• Windows Security
• Malware Analysis and Detection
• ML/DL for Security
• Generative Adversarial Networks (GANs)
• Sofware Security (Đang nghiên cứu chính)
• Binary Code Analysis
• Explainable Artificial Intelligence (Đang nghiên cứu chính)
• Malware

• Adversarial learning/AI security (GANs - attacks targeting ML models) & AI Privacy (federated learning & homomorphic encryption)
• ML/DL for Security
• Generative Adversarial Networks (GANs)

• Web application security
• ML/DL for Security
• Generative Adversarial Networks (GANs)

Federated Learning, XAI, Intrusion Detection System, Malware Detection