CAPTCHA Using Strangeness in Machine Translation
CAPTCHA Using Strangeness in Machine Translation
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DOI：
10.1109/aina.2010.55
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发表时间：
2010-04
期刊：
影响因子：
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通讯作者：
Takumi Yamamoto;J. D. Tygar;M. Nishigaki
中科院分区：
文献类型：
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作者：
Takumi Yamamoto;J. D. Tygar;M. Nishigaki
验证码是一种用于防止自动程序能够获取免费电子邮件或在线服务帐户的技术。然而，正如许多研究人员已经报告的那样，由于计算机的能力正在接近人类的能力，传统的验证码可能会被最先进的恶意软件所克服。因此，验证码应该基于更高级的人类认知处理能力。我们建议利用人类识别“陌生感”的能力来实现一种新的验证码。本文以机器翻译句子中的陌生性为例，提出了使用句子中的陌生性验证码(SS-CAPTCHA)，它通过检查用户是否能够区分自然语句和机器翻译语句来检测恶意软件。我们讨论了SS-CAPTCHA可能面临的威胁以及应对这些威胁的对策。我们还进行了基本实验，以验证其在人类用户中的可用性。
CAPTCHA is a technique that is used to prevent automatic programs from being able to acquire free e-mail or online service accounts. However, as many researchers have already reported, conventional CAPTCHA could be overcome by state-of-the-art malware since the capabilities of computers are approaching those of humans. Therefore, CAPTCHA should be based on even more advanced human-cognitive-processing abilities. We propose using the human ability of recognizing “strangeness” to achieve a new CAPTCHA. This paper focuses on strangeness in machine-translated sentences as an example, and proposes CAPTCHA using Strangeness in Sentences (SS-CAPTCHA), which detects malware by checking if users can distinguish natural sentences created by humans from machine-translated sentences. We discuss possible threats to SS-CAPTCHA and countermeasures against these threats. We also carried out basic experiments to confirm its usability by human users.