Shinil Kwon
Papers
2
Total Citations
31
H-Index
2
About
Shinil Kwon is a researcher focused on cybersecurity and human-computer interaction, with key contributions to web robot detection and CAPTCHA systems. His most cited work, "Web robot detection based on pattern-matching technique" (2012, 25 citations), addresses the critical challenge of distinguishing automated bots from human users by identifying robust behavioral features beyond simplistic metrics like referrer fields or request intervals. This work has informed more resilient detection frameworks. Kwon further advanced the field with "A Paradigm Shift for the CAPTCHA Race: Adding Uncertainty to the Process" (2016, 6 citations), where he proposed a novel approach to CAPTCHA design—introducing dynamic uncertainty into challenge responses to thwart machine learning attacks, which often exploit static answer patterns. This work highlights his ability to rethink adversarial dynamics in security. While his citation counts reflect a focused niche, Kwon’s research is foundational for practitioners combating bot-driven abuse and improving user verification systems, offering pragmatic solutions to real-world security dilemmas.
Research Focus
Key Achievements
Top Papers
- 1Web robot detection based on pattern-matching technique25 citations · 2012
- 2A Paradigm Shift for the CAPTCHA Race: Adding Uncertainty to the Process6 citations · 2016