POSTER: I Can't Hear This Because I Am Human: A Novel Design of Audio CAPTCHA System
POSTER: I Can't Hear This Because I Am Human: A Novel Design of Audio CAPTCHA System
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DOI：
10.1145/3196494.3201590
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发表时间：
2018-05
期刊：
影响因子：
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通讯作者：
Jusop Choi;Taekkyung Oh;William Aiken;Simon S. Woo;Hyoungshick Kim
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文献类型：
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作者：
Jusop Choi;Taekkyung Oh;William Aiken;Simon S. Woo;Hyoungshick Kim
CAPTCHA（完全自动化的公共图灵测试，以区分计算机和人类）提供了第一道防线，以保护网站免受机器人和自动抓取。最近，基于音频的CAPTCHA系统开始在许多互联网服务中用于视障人士。然而，随着最近语音识别和机器学习系统的改进，音频CAPTCHA已经难以区分机器和用户，这种情况可能会继续恶化。与传统的CAPTCHA系统不同，我们提出了一个新的概念音频CAPTCHA系统，结合一定的声音，这是只有机器才能理解。我们的实验结果表明，测试的语音识别系统总是提供正确的反应，我们的CAPTCHA样本，而人类不可能理解他们。基于人类和机器之间的这种计算差距，我们可以检测机器人的正确响应，而不是错误的响应。
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 for visually impaired people 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, combining certain sound, which is only understandable by a machine. Our experiment results demonstrate that the tested speech recognition systems always provide correct responses for our CAPTCHA samples while humans cannot possibly understand them. Based on this computational gap between the human and machine, we can detect bots with their correct responses, rather than their incorrect ones.