一种新的基于移动设备云上头像动态图像的验证码服务

Prasad V. Kalne, V. Kolhe
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引用次数: 2

摘要

移动设备和互联网的使用逐渐发展成为无处不在的网络,网络在我们的交流中发挥着越来越重要的作用。最近出现了像DOS(拒绝服务)这样的智能、复杂的攻击,使得web服务比以往任何时候都更加脆弱。为了应对DOS攻击,验证码被用作标准的安全技术之一。验证码生成的等级测试大多数人都能通过,但目前的计算机程序无法通过。可以对人类用户和自动脚本进行分类,CAPTCHA是对它们进行分类的可能方法之一。基于文本的captcha在许多应用程序中使用,但由于语言依赖性而面临挑战。基于动态图像的验证码可以增强验证码的鲁棒性。它提高了人类的成功率。与现有的基于文本的CAPTCHA相比,BOT入侵系统的可能性相当低。本文提出了一种基于图像的移动设备头像验证码的潜在解决方案。CAPTCHA的解决方案是,用户必须在不选择任何非人类头像的情况下,正确识别嵌入在复杂背景中的视觉扭曲的人脸。通过本文提出的工作,将验证码服务托管在云中,并在云中生成验证码,从而提高了验证码生成的效率,也减少了用户身份验证的响应时间。在实现过程中考虑移动设备所需的可用性和表示需求。与现有方法相比,该算法生成的验证码具有更高的准确性和更低的机器攻击率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new avatar dynamic image based CAPTCHA service on cloud for Mobile devices
Use of Mobile devices and internet developed gradually into a ubiquitous network and web has taken an increasingly central role in our communication. Recently the emergence of intelligent, sophisticated attacks like DOS (Denial of Service) makes web services more vulnerable than ever. To handle the DOS attacks, CAPTCHAs are used as one of the standard security technology. CAPTCHAs generate grade tests that most humans can pass but current computer programs can't. Human users and automated scripts can be classified and CAPTCHA is one of the possible ways to classify them. Text based CAPTCHAs are used in many applications but they face a challenge due to language dependency. Dynamic image based CAPTCHAs can strength the robustness of CAPTCHAs. It improves the human success rate. The probability of a BOT hacking the system is considerably low as compared to existing text based CAPTCHA. In this paper, an image-based Avatar CAPTCHA for mobile devices has been proposed as a potential solution. The solution of CAPTCHA is that users must correctly identify visually distorted human faces embedded in a complex background without selecting any non-human Avatar face. With this proposed work, CAPTCHA service is hosted on cloud that will generate CAPTCHA on cloud, so it improves efficiency of CAPTCHA generation also reduces response time for the use to authenticate as human. The need for usability and presentation that is required for a mobile device is considered during implementation. The proposed algorithm generates a CAPTCHA that offers better accuracy and lower machine attack rates compared to existing approaches.
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