用EOG隐藏我的目光!在智能眼镜中使用眼电术抵抗观察攻击的闭眼凝视手势密码

Proceedings of the 17th International Conference on Advances in Mobile Computing & Multimedia Pub Date : 2019-12-02 DOI:10.1145/3365921.3365922

R. Findling, Tahmid Quddus, S. Sigg

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引用次数: 11

摘要

智能眼镜允许使用凝视手势密码作为免提的移动身份验证形式。然而，输入密码时瞳孔的运动很容易被攻击者观察到，从而可以获得密码。本文研究了智能眼镜中EOG传感器的闭眼注视手势密码。我们提出了一种检测和识别闭眼凝视手势的方法，以及7和9个字符的凝视手势字母表。我们的评估表明了良好的注视手势检测率。然而，对垂直眼运动的识别具有挑战性，准确率为71.2%-86.5%，睁眼比闭眼效果更好。我们进一步发现，从观察结果来看，闭眼注视手势密码很难被攻击，在我们的评估中成功率为0%，而对睁眼密码的攻击成功率为61%。这表明闭眼注视手势密码比睁眼注视手势密码更好地保护身份验证秘密。

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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Hide my Gaze with EOG!: Towards Closed-Eye Gaze Gesture Passwords that Resist Observation-Attacks with Electrooculography in Smart Glasses

Smart glasses allow for gaze gesture passwords as a hands-free form of mobile authentication. However, pupil movements for password input are easily observed by attackers, who thereby can derive the password. In this paper we investigate closed-eye gaze gesture passwords with EOG sensors in smart glasses. We propose an approach to detect and recognize closed-eye gaze gestures, together with a 7 and 9 character gaze gesture alphabet. Our evaluation indicates good gaze gesture detection rates. However, recognition is challenging specifically for vertical eye movements with 71.2%-86.5% accuracy and better results for opened than closed eyes. We further find that closed-eye gaze gesture passwords are difficult to attack from observations with 0% success rate in our evaluation, while attacks on open eye passwords succeed with 61%. This indicates that closed-eye gaze gesture passwords protect the authentication secret significantly better than their open eye counterparts.

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Proceedings of the 17th International Conference on Advances in Mobile Computing & Multimedia

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