Affiliated with HCRL (Hacking and Countermeasure Research Lab, established in 2010)
Focuses on data-driven security using machine learning and data mining to extract actionable insights from large-scale real-world datasets
Key strength lies in unique, high-value datasets collected from online gaming services, mobile payments, e-commerce transactions, and real vehicle driving/attack scenarios
Actively contributes to the field by publicly sharing these datasets
Core research areas include Online Game Security (world-leading in bot detection and Gold-Farming Groups detection) and Automotive Security (developing CAN-based Intrusion Detection Systems)
The only research group globally possessing a real-vehicle driving and attack dataset