Athanasios Lagopoulos

Papers

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About

Athanasios Lagopoulos is a leading researcher in the field of web security and data integrity, with a primary focus on the detection and analysis of web robots. His work addresses a critical modern challenge: the fact that automated bots now constitute over half of all web traffic. Lagopoulos’s major contributions lie in developing sophisticated, content-aware detection methodologies that go beyond simple traffic analysis. His pioneering 2018 paper, “Web Robot Detection: A Semantic Approach” (13 citations), introduced a novel semantic framework for distinguishing between human users and malicious or analytics-skewing bots. This work was further refined in his 2020 study, “Content-aware web robot detection” (10 citations), which enhanced detection accuracy by analyzing the actual content being accessed. Lagopoulos has also specifically applied his expertise to the academic publishing sector, as seen in his 2017 paper “Web Robot Detection in Academic Publishing” (2 citations), where he addresses how bots distort crucial metrics and threaten the veracity of scholarly information. Through his research, Lagopoulos is helping to safeguard the security, privacy, and performance of the web for legitimate users and organizations.