Paper Key : IRJ************761
Author: Shivani Rana
Date Published: 01 Jul 2024
Abstract
A CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) provides the first line of defense to protect websites against bots and automatic crawling. Recently, audio-based CAPTCHA systems are started to use in many internet services. However, with the recent improvement of speech recognition and machine learning system, audio CAPTCHAs have come to struggle to distinguish machines from users, and this situation will likely continue to worsen. Unlike conventional CAPTCHA systems, we propose a new conceptual audio CAPTCHA system i.e EmoCAPTCHA, combining certain emotion based sound, which is understandable by a human users. It provides an additional security layer to the conventional audio CAPTCHA. Our experiment results demonstrate that the human users always provide correct responses for our CAPTCHA samples while machimes cannot possibly understand them. Based on this computational gap between the human and machine, we can detect bots with their incorrect responses.
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