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Automatic construction of human interaction proof engines

机译:自动构建人机交互证明引擎

摘要

Human Interaction Proofs (“HIPs”, sometimes referred to as “captchas”), may be generated automatically. An captcha specification language may be defined, which allows a captcha scheme to be defined in terms of how symbols are to be chosen and drawn, and how those symbols are obscured. The language may provide mechanisms to specify the various ways in which to obscure symbols. New captcha schemes may be generated from existing specifications, by using genetic algorithms that combine features from existing captcha schemes that have been successful. Moreover, the likelihood that a captcha scheme has been broken by attackers may be estimated by collecting data on the time that it takes existing captcha schemes to be broken, and using regression to estimate the time to breakage as a function of either the captcha's features or its measured quality.
机译:可以自动生成人机交互证明(“ HIP”,有时也称为“验证码”)。可以定义验证码规范语言,其允许根据如何选择和绘制符号以及如何隐藏这些符号来定义验证码方案。该语言可以提供机制来指定使符号变得晦涩的各种方式。可以通过使用遗传算法来从现有规范中生成新的验证码方案,该遗传算法将从成功的现有验证码方案中组合特征。此外,可以通过以下方式来估计验证码方案被攻击者破坏的可能性:收集有关现有验证码方案被破坏的时间的数据,并使用回归来估计验证码功能(取决于验证码的功能或功能)的破坏时间。其测量的质量。

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