captcha
Many websites use tests intended to distinguish humans from automated processes as part of account registration and other functions. Widely known as Completely Automated Public Turing tests to tell Computers and Humans Apart (CAPTCHA), such tests are generally intended to supply a visual or audio task that is relatively easy for humans but hard for computers. In this paper, we propose a generic approach for breaking audio CAPTCHAs based on advanced audio processing and machine learning algorithm. We show that our system is able to break all the popular audio CAPTCHA schemes, including Microsoft and Yahoo, that use non continuous speech.
Downloads
paper
slides
You might also like reading

captcha 2009

Decaptcha Breaking 75% of eBay Audio CAPTCHAs

captcha 2011

Text-based CAPTCHA Strengths and Weaknesses

captcha 2010

How Good are Humans at Solving CAPTCHAs A Large Scale Evaluation

security 2011

Five Surprising CAPTCHA Schemes

web security 2010

Bad Memories

Comments
About me
Lead Google's anti-abuse research. Develop new ways to protect users and disrupt bad guys. Make Chrome safer and faster. Help keeping G+ and Gmail clean. Wear berets. Do magic tricks.
Performance
headers: 0.00108981132507
files: 0.00197005271912
get publication: 0.104200124741
sidebar: 0.201719999313
related: 4.92156982422
total: 5.23057985306