Vijayalakshmi Atluri
Papers
2
Total Citations
19
H-Index
2
About
Vijayalakshmi Atluri is a distinguished researcher in cybersecurity, with a primary focus on the vulnerabilities of image-based CAPTCHAs—the automated tests designed to distinguish human users from bots. Her most-cited work, "Attacking Image Based CAPTCHAs Using Image Recognition Techniques" (2012, 15 citations), demonstrates how advanced image recognition algorithms can systematically defeat these security measures, exposing critical weaknesses in widely deployed authentication systems. Building on this, her subsequent study "Web Services Based Attacks against Image CAPTCHAs" (2013, 4 citations) explores how attackers can leverage cloud-based services to automate such breaches at scale. Atluri’s contributions are foundational to understanding the arms race between CAPTCHA designers and adversaries, highlighting the urgent need for more robust, human-centric alternatives. Her research has informed the development of next-generation security protocols and influenced both academic discourse and practical defense strategies. By revealing the fragility of image-based challenges, Atluri has helped shape modern approaches to online authentication, making her work essential reading for students and researchers in cybersecurity, human-computer interaction, and applied machine learning.
Research Focus
Key Achievements
Top Papers
- 1Attacking Image Based CAPTCHAs Using Image Recognition Techniques15 citations · 2012
- 2Web Services Based Attacks against Image CAPTCHAs4 citations · 2013