Smartphone passcode prediction

Tao Chen, Michael Farcasin, Eric Chan-Tin
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引用次数: 8

Abstract

Many people now own smartphones and store all their documents such as pictures and financial statements on their phone. To protect this sensitive information, people generally use a passcode to prevent unauthorised access to their phone. Shoulder-surfing attacks are well known. However, contrary to common belief, they are not easy to carry out. Shoulder-surfing attacks to predict the passcode by humans are shown to not be accurate. The authors thus propose an automated algorithm to accurately predict the passcode entered by a victim on her smartphone by recording the video. Their proposed algorithm is able to predict over 92% of numbers entered in fewer than 75 s with training performed once.
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智能手机密码预测
现在很多人都拥有智能手机,并在手机上存储所有文件,如图片和财务报表。为了保护这些敏感信息,人们通常使用密码来防止未经授权的访问他们的手机。肩滑攻击是众所周知的。然而,与普遍的看法相反,它们并不容易执行。通过肩部冲浪攻击来预测人类的密码被证明是不准确的。因此,作者提出了一种自动算法,可以通过录制视频准确预测受害者在智能手机上输入的密码。他们提出的算法能够在75秒内预测超过92%的输入数字,只需进行一次训练。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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