Hyung-Kyu Lee

Korea Advanced Institute of Science and Technology

Papers

Total Citations

H-Index

About

Hyung-Kyu Lee is a prominent researcher in the field of web analytics and cybersecurity, with a particular focus on the detection and classification of automated web traffic. His seminal work, "Classification of web robots: An empirical study based on over one billion requests," published in 2009, remains a cornerstone in understanding the behavior of web crawlers and bots. By analyzing over one billion web requests, Lee developed robust methodologies to distinguish between human users and automated agents, a critical challenge for website security, server load management, and data integrity. This study, which has garnered 36 citations, laid the groundwork for subsequent advances in bot detection and web traffic analysis. Lee’s contributions are especially valuable for researchers and practitioners tackling the growing threat of malicious bots, as his empirical approach provided a scalable and data-driven framework. His work continues to influence modern cybersecurity protocols and is frequently referenced in studies on web robot classification, making him a key figure in the ongoing effort to secure online ecosystems.