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arXiv 1109.0132cs.CRcs.HC
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基于梵文脚本的Captcha框架

A Framework for Devanagari Script-based Captcha

Sushma Yalamanchili, M. Kameswara Rao

摘要:

人机交互证明(HIP)是一种自动反向图灵测试,旨在区分不同的用户组。完全自动公共图灵测试区分计算机和人类(CAPTCHA)是一个HIP系统,区分人类和恶意计算机程序。目前已有许多基于文本图形、音频、谜题和数学问题的验证码被提出。CAPTCHA的设计和实现属于人工智能的范畴。我们的目标是利用CAPTCHA作为一种工具,以提高基于互联网的应用程序的安全性。在本文中,我们提出了一个基于文本的CAPTCHA框架的基础上,梵文脚本,可以利用人类和计算机程序之间的阅读能力的差异。我们选择基于梵文脚本的CAPTCHA是基于这样一个事实,即它被大量的印度语言使用,包括印地语,这是第三大口语。有可能在该脚本中开发的应用程序呈指数级增长,从而使基于印度语言的应用程序更容易获得安全。

英文摘要:

Human Interactive Proofs (HIPs) are automatic reverse Turing tests designed to distinguish between various groups of users. Completely Automatic Public Turing test to tell Computers and Humans Apart (CAPTCHA) is a HIP system that distinguish between humans and malicious computer programs. Many CAPTCHAs have been proposed in the literature that text-graphical based, audio-based, puzzle-based and mathematical questions-based. The design and implementation of CAPTCHAs fall in the realm of Artificial Intelligence. We aim to utilize CAPTCHAs as a tool to improve the security of Internet based applications. In this paper we present a framework for a text-based CAPTCHA based on Devanagari script which can exploit the difference in the reading proficiency between humans and computer programs. Our selection of Devanagari script-based CAPTCHA is based on the fact that it is used by a large number of Indian languages including Hindi which is the third most spoken language. There is potential for an exponential rise in the applications that are likely to be developed in that script thereby making it easy to secure Indian language based applications.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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