AI vs. AI: Evaluation of CAPTCHA attack
Presenter(s)
Sai Bhargava Nidumolu
Files
Description
CAPTCHA stands for (Completely Automated Public Turing test) to distinguish Computers and Humans. The purpose of CAPTCHA is to verify whether the user trying to access the page/site is actually a human or just a bot. It is used to protect open web resources from being exploited. Although, hackers find a way to crack the CAPTCHA puzzles using different approaches. In this paper, we are going to evaluate different neural network architectures to crack image-based CAPTCHAs. Also, we would perform gap analysis on each model and compare them against one another .
Publication Date
4-22-2021
Project Designation
Course Project
Primary Advisor
Van Tam Nguyen
Primary Advisor's Department
Computer Science
Keywords
Stander Symposium project, College of Arts and Sciences
United Nations Sustainable Development Goals
Industry, Innovation, and Infrastructure
Recommended Citation
"AI vs. AI: Evaluation of CAPTCHA attack" (2021). Stander Symposium Projects. 2148.
https://ecommons.udayton.edu/stander_posters/2148
Comments
This poster reflects research conducted as part of a course project designed to give students experience in the research process. Course: CPS 595