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Vulnerability analysis of captcha using Deep learning. (arXiv:2302.09389v1 [cs.CR])
cs.CR updates on arXiv.org arxiv.org
Several websites improve their security and avoid dangerous Internet attacks
by implementing CAPTCHAs (Completely Automated Public Turing test to tell
Computers and Humans Apart), a type of verification to identify whether the
end-user is human or a robot. The most prevalent type of CAPTCHA is text-based,
designed to be easily recognized by humans while being unsolvable towards
machines or robots. However, as deep learning technology progresses,
development of convolutional neural network (CNN) models that predict
text-based CAPTCHAs becomes easier. The …
analysis attacks automated captcha captchas computers deep learning development end human humans identify internet machines network neural network public robot robots security technology test text turing test verification vulnerability vulnerability analysis websites