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A Study of Human Bio-detection Function under Text-Based CAPTCHA System

机译:基于文本的CAPTCHA系统下人体生物探测功能的研究

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摘要

Currently, most authentication system requires users to answer the CAPTCHA (Completely Automated Public Turing Test to Tell Computer and Human Apart) before gaining the system access. CAPTCHA is a standard security technology for distinguish between human and computer program automatically. The problem of using CAPTCHA is the difficulty of reading the text-based presentation, or interpreting the image-based presentation. In addition, CAPTCHA cannot protect the third party attack. Therefore, this paper proposed a study of bio-detection function (BDF) of human based on the CAPTCHA system to identify the factors to be implemented into the CAPTCHA. The results can indicate that there are limitations in BDF of each person when uses CAPTCHA system and this limitation influences to the correctness of CAPTCHA typing.
机译:当前,大多数身份验证系统都要求用户在获得系统访问权限之前回答CAPTCHA(完全自动的公共图灵测试,以告诉计算机和人类分开)。 CAPTCHA是一种标准安全技术,用于自动区分人机程序和计算机程序。使用CAPTCHA的问题是难以阅读基于文本的演示文稿或解释基于图像的演示文稿。此外,CAPTCHA无法保护第三方攻击。因此,本文提出了一种基于CAPTCHA系统的人体生物检测功能(BDF)的研究,以识别将要实施到CAPTCHA中的因素。结果表明使用CAPTCHA系统时每个人的BDF都有局限性,这一局限性会影响CAPTCHA分型的正确性。

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