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A CAPTCHA with Tips Related to Alphabets Upper or Lower Case

机译:带有与大写或小写字母相关的提示的验证码

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Due to the ubiquity of web browsers and the dramatic development of dynamic web pages, web applications become the most popular computing model for providing services over the Internet. Unfortunately, this type of systems is vulnerable to the attacks issued by automated programs. CAPTCHA, a challenge-response test, is the most widely used mechanism to protect web application systems from attacks issued by computer programs. By considering the maintenance cost, most of the CAPTCHA systems employ the text-based challenge in which a string is represented as an image. A user is classified as a human by a text-based CAPTCHA if the user can respond a challenge with the exact string shown in the image. One drawback of a text-based CAPTCHA system is that the string is possibly recognized by a computer program equipped with OCR function. Obfuscating text images can strength the robustness of CAPTCHAs. But, it also degrades the usability of the systems. In this paper, we propose a new text-based CAPTCHA mechanism in which each challenge is associated with a tip providing humans enough information to recognize the alphabets in a highly distorted text image. Therefore, our system provides a balance between the effectiveness and human success rates of text-based CAPTCHAs.
机译:由于Web浏览器的无处不在和动态网页的迅猛发展,Web应用程序成为通过Internet提供服务的最流行的计算模型。不幸的是,这种类型的系统容易受到自动化程序发出的攻击。 CAPTCHA是一种挑战响应测试,是最广泛使用的机制,可以保护Web应用程序系统免受计算机程序发出的攻击。考虑到维护成本,大多数CAPTCHA系统采用基于文本的挑战,其中字符串表示为图像。如果用户可以使用图像中显示的确切字符串来响应挑战,则基于文本的验证码会将用户分类为人类。基于文本的CAPTCHA系统的一个缺点是字符串可能会被配备OCR功能的计算机程序识别。混淆文本图像可以增强验证码的鲁棒性。但是,这也会降低系统的可用性。在本文中,我们提出了一种新的基于文本的CAPTCHA机制,其中,每个挑战都与一个提示相关联,该提示为人类提供了足够的信息以识别高度失真的文本图像中的字母。因此,我们的系统在基于文本的验证码的有效性和人类成功率之间取得了平衡。

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