Swati Vashisht
Papers
1
Total Citations
2
H-Index
1
About
Swati Vashisht is a researcher at the forefront of cybersecurity and social media analytics, with a particular focus on detecting malicious behavior in online platforms. Her most cited work, "Detection of Malicious Social Bots with the Aid of Learning Automata on Twitter" (2022), addresses the growing threat of automated accounts that spread propaganda, create fictitious profiles, and disseminate harmful links. By integrating learning automata—a form of adaptive machine learning—she developed a novel approach to identify these bots with greater accuracy, contributing to safer digital ecosystems. While her citation count is still building, this paper marks a significant step in combating sophisticated social bot networks. Vashisht’s research bridges artificial intelligence and cybersecurity, offering practical solutions for real-time threat detection. Her work is particularly valuable for students and researchers exploring adversarial machine learning, online fraud prevention, and the intersection of automation and social behavior. As the field evolves, her contributions stand out for their technical rigor and societal relevance, making her a promising voice in the fight against digital misinformation and automated cyber threats.
Research Focus
Key Achievements
Top Papers
- 1