Arti Anuragi
Papers
1
Total Citations
4
H-Index
1
About
Arti Anuragi is a researcher specializing in cybersecurity, web analytics, and machine learning, with a particular focus on detecting and categorizing malicious automated agents on the internet. Her work addresses the critical challenge of identifying web robots—automated software agents that can be used for both legitimate indexing and harmful activities like spamming and spying. In her most cited paper, "Categorization Performance of Unsupervised Learning Techniques for Web Robots Sessions" (2018, 4 citations), she explores how unsupervised learning methods can effectively distinguish between benign and malicious robot sessions hidden within web server logs. This contribution is vital for improving web security and server resource management. Anuragi’s research demonstrates the power of machine learning in unmasking deceptive online behaviors, offering practical solutions for cybersecurity professionals. Her work, though early in its citation impact, lays important groundwork for more advanced detection systems, highlighting her potential to influence future developments in automated threat identification and web traffic analysis.
Research Focus
Key Achievements
Top Papers
- 1