David Lorenzi

Rutgers, The State University of New Jersey

Papers

Total Citations

H-Index

About

David Lorenzi is a researcher whose work has significantly advanced the understanding of security vulnerabilities in web-based authentication systems, particularly image-based CAPTCHAs. His key research areas include cybersecurity, image recognition, and web services security. Lorenzi’s major contribution lies in demonstrating how automated image recognition techniques can be leveraged to break CAPTCHAs, exposing critical weaknesses in widely used security measures. His 2012 paper, “Attacking Image Based CAPTCHAs Using Image Recognition Techniques,” has garnered 15 citations, serving as a foundational reference for subsequent studies on CAPTCHA robustness. In 2013, he extended this work with “Web Services Based Attacks against Image CAPTCHAs,” which explored how web services can be exploited to automate such attacks, further highlighting the need for more resilient authentication methods. Lorenzi’s research has been instrumental in informing the design of next-generation CAPTCHAs and strengthening web security protocols. His findings are particularly valuable for students and researchers interested in the intersection of machine learning and cybersecurity, offering practical insights into the arms race between attackers and defenders in digital authentication.