Uploaded August 2026 | Updated September 2026, 1 hour ago
Yi-Hsien Chen (CyCraft Technology, TW)
Even organizations with robust cyber budgets and advanced tools often struggle during real incidents — not due to technical gaps, but because boards and operators lack shared mental models of risk and trade‑offs. Traditional briefings fail to close this divide; they are consumed passively and forgotten quickly.
We propose a radical alternative: encode critical cybersecurity concepts (CDM, CTEM) into game‑based simulations, where decision‑makers experience failures, resource constraints, and coordination friction firsthand. Through visceral, compressed feedback loops, participants build durable intuitions that PPTs cannot deliver. Validated across 1,000+ participants in multiple regions, this approach accelerates organizational learning and cross‑role alignment by months.
This talk shares how to leverage the learning science in simulation‑based encoding, demonstrates how it transforms abstract frameworks into embodied knowledge, and provides a concrete blueprint for building adaptive defense through experiential practice — not more lectures. The authors of this session include: Tien-Chih Lin, Wei-Chia Kao, and Yi-Hsien Chen.
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Yi-Hsien Chen earned his B.S. degree in Computer Science at National Chiao Tung University (NCTU) and is currently a Ph.D. candidate in the Department of Electrical Engineering at National Taiwan University (NTU), a research assistant in the Department of Computer Science at National Yang Ming Chiao Tung University (NYCU), and a security researcher for the CyCraft research team. His research focuses on automatic malware analysis techniques, cyber threat intelligence, machine learning, and various cybersecurity topics. His work has been published in IEEE TIFS, DSC, ACM ASIACCS, and CCSW. He has also spoken at HITB CyberWeek, AVTokyo, HITCON, SECCON, and CODE BLUE. Additionally, he was a member of the BambooFox CTF team from NYCU, has participated in several CTFs, and has won 12th and 2nd place in DEFCON 26 and 27, respectively, with BFS and BFKinesiS CTF teams.
Yi-Hsien Chen (CyCraft Technology, TW)
Even organizations with robust cyber budgets and advanced tools often struggle during real incidents — not due to technical gaps, but because boards and operators lack shared mental models of risk and trade‑offs. Traditional briefings fail to close this divide; they are consumed passively and forgotten quickly.
We propose a radical alternative: encode critical cybersecurity concepts (CDM, CTEM) into game‑based simulations, where decision‑makers experience failures, resource constraints, and coordination friction firsthand. Through visceral, compressed feedback loops, participants build durable intuitions that PPTs cannot deliver. Validated across 1,000+ participants in multiple regions, this approach accelerates organizational learning and cross‑role alignment by months.
This talk shares how to leverage the learning science in simulation‑based encoding, demonstrates how it transforms abstract frameworks into embodied knowledge, and provides a concrete blueprint for building adaptive defense through experiential practice — not more lectures. The authors of this session include: Tien-Chih Lin, Wei-Chia Kao, and Yi-Hsien Chen.
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Yi-Hsien Chen earned his B.S. degree in Computer Science at National Chiao Tung University (NCTU) and is currently a Ph.D. candidate in the Department of Electrical Engineering at National Taiwan University (NTU), a research assistant in the Department of Computer Science at National Yang Ming Chiao Tung University (NYCU), and a security researcher for the CyCraft research team. His research focuses on automatic malware analysis techniques, cyber threat intelligence, machine learning, and various cybersecurity topics. His work has been published in IEEE TIFS, DSC, ACM ASIACCS, and CCSW. He has also spoken at HITB CyberWeek, AVTokyo, HITCON, SECCON, and CODE BLUE. Additionally, he was a member of the BambooFox CTF team from NYCU, has participated in several CTFs, and has won 12th and 2nd place in DEFCON 26 and 27, respectively, with BFS and BFKinesiS CTF teams.
