Honors Program Theses
Award/Availability
Honors Program Thesis (UNI Access Only)
First Advisor
Ben Schafer Honors Thesis Advisor
Keywords
CAPTCHA (Challenge-response test); Artificial intelligence;
Abstract
A CAPTCHA (completely automated public Turing test to tell computers and humans apart) is a type of challenge-response test used in websites to determine whether the user is a human or not. CAPTCHAs were invented to prevent computer bots from spamming websites. With the advent of online businesses, CAPTCHAs became more and more important and are now employed by almost all websites. For example, Paypal uses CAPTCHA before any money transfer to make sure that the user owns the profile, Facebook limits the creation of fraudulent profiles which are used to cheat people, and Reddit prevents bots from flooding the webpage with directed messages.
Although CAPTCHAs play a crucial role in the web, as computer hardware and artificial intelligence techniques evolved, artificial intelligence gained the ability to beat CAPTCHAs. If we know what kind of algorithms can beat it, only then can we prepare next-generation CAPTCHAs that are more resilient. This project focuses on devising and implementing various artificial intelligence, image processing and procedural programming techniques to create a system that solves CAPTCHAs with significant accuracy. It tackles the most widely used CAPTCHA 1 scheme which uses a combination of distorted characters that humans can recognize but that may be difficult for automated scripts.
Year of Submission
2019
Department
Department of Computer Science
University Honors Designation
A thesis submitted in partial fulfillment of the requirements for the designation University Honors
Date Original
12-2019
Object Description
1 PDF file (13 pages)
Copyright
©2019 Rishabh Dalal
Language
en
File Format
application/pdf
Recommended Citation
Dalal, Rishabh, "System for beating CAPTCHA using artificial intelligence" (2019). Honors Program Theses. 407.
https://scholarworks.uni.edu/hpt/407