Yuriy A. Gatchin

Papers

Total Citations

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About

Yuriy A. Gatchin is a researcher specializing in web security, machine learning, and computational modeling. His work focuses on understanding and detecting automated web robots, particularly through the behavioral analysis of web crawlers. In his most-cited paper, "Modeling the behavior of web crawlers on a web resource" (2020), Gatchin developed a simulation model that captures the distinct behavioral patterns of web crawlers compared to human users. This model is critical for advancing web robot detection techniques and generating realistic datasets for machine learning-based security systems. By analyzing how crawlers interact with web resources, his research provides foundational insights for distinguishing between legitimate and malicious automated traffic. Although his citation count is currently modest, his contributions are highly relevant to the growing fields of cybersecurity and AI-driven web analytics. Gatchin’s work supports the development of more robust, adaptive defenses against automated threats, making it valuable for researchers and practitioners working on web security, bot detection, and intelligent monitoring systems.