M E Kalinkina

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About

M. E. Kalinkina is a researcher focused on cybersecurity and web traffic analysis, with a particular emphasis on the detection and modeling of automated web agents. Her key research area centers on understanding the behavior of web crawlers and distinguishing them from human users—a critical challenge for protecting web resources from malicious bots and ensuring fair access. Her most notable contribution is the development of a simulation model for web crawler behavior, which serves as a foundational tool for creating realistic datasets and improving machine learning-based detection methods. This work, published in 2020 and cited twice, provides a systematic framework for analyzing behavioral differences among various crawlers, enabling more robust security measures. Kalinkina’s research bridges the gap between theoretical modeling and practical application, offering valuable insights for both cybersecurity practitioners and researchers in web analytics. Her work is particularly relevant for those developing anti-bot systems or studying traffic patterns on high-value web resources.