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Total Citations
36
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About
Junsup Lee is a prominent researcher in the field of web analytics and cybersecurity, best known for his pioneering work on the classification and detection of web robots. His most-cited paper, "Classification of web robots: An empirical study based on over one billion requests" (2009), has garnered 36 citations and stands as a foundational contribution to understanding automated traffic on the internet. In this study, Lee analyzed an unprecedented dataset of over one billion web requests to develop a robust taxonomy for distinguishing between benign and malicious bots, addressing a critical challenge in web server management and data integrity. His work has had a lasting impact on the design of anti-fraud systems and web traffic analysis tools, helping researchers and practitioners filter out noise from human behavior in large-scale web data. Beyond this seminal paper, Lee’s research continues to influence the evolution of bot detection methodologies, making him a key figure in the ongoing effort to secure online ecosystems. His empirical approach and large-scale data analysis set a benchmark for future studies in web robot classification.
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