G. Revathy

Papers

Total Citations

H-Index

About

G. Revathy is a researcher whose work lies at the intersection of cybersecurity and social media analytics, with a particular focus on detecting and mitigating online threats. Her key research areas include malicious bot detection, learning automata, and the security of online social networks. Revathy’s most notable contribution is her paper "Detection of Malicious Social Bots with the Aid of Learning Automata on Twitter," which addresses the growing problem of violent social bots that automate interactions, spread destructive propaganda, and disseminate malicious root URLs. This work has garnered attention in the cybersecurity community, with 2 citations to date, and highlights her innovative use of learning automata—a machine learning technique—to identify and counter these sophisticated threats. By tackling the challenge of fictitious profiles and misleading tweets, Revathy’s research provides a critical framework for protecting social media platforms from automated abuse. Her achievements underscore a commitment to advancing digital safety, making her a promising voice in the fight against online deception and a valuable resource for students and researchers exploring the intersection of AI and cybersecurity.