Jayan Sirikonda

Papers

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About

Jayan Sirikonda is a researcher at the forefront of cybersecurity and machine learning, with a focused expertise in web robot detection and automated threat analysis. His most-cited work, "Evaluating Machine Learning Techniques for Web Robot Detection" (2024), has already garnered 2 citations, establishing a foundation for distinguishing between benign web crawlers—essential for search engine indexing—and malicious automated scripts that threaten web integrity. Sirikonda’s contributions lie in systematically assessing machine learning models to enhance detection accuracy, addressing a critical gap in modern web security where traditional rule-based methods fall short. By evaluating techniques like supervised learning and feature engineering, he provides a scalable framework for identifying sophisticated bots that mimic human behavior. This work is pivotal for researchers and practitioners developing resilient web defenses, as it bridges the gap between algorithmic theory and real-world application. Sirikonda’s research not only advances the technical understanding of bot behavior but also offers practical insights for securing online ecosystems against evolving cyber threats, making his contributions highly relevant in an era of increasing automated attacks.