Huy Kang Kim
Scholar

Huy Kang Kim

Google Scholar ID: 329wHz0AAAAJ
School of Cybersecurity, Korea University
Data-driven SecurityVehicular NetworkOnline GamesUser BehaviorMalware Analysis
Citations & Impact
All-time
Citations
7,087
 
H-index
37
 
i10-index
107
 
Publications
20
 
Co-authors
97
list available
Contact
No contact links provided.
Resume (English only)
Background
  • 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