SoundLock: A Novel User Authentication Scheme for VR Devices Using Auditory-Pupillary Response

Huadi Zhu, Mingyan Xiao, Demoria Sherman, Ming Li
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引用次数: 3

Abstract

—Virtual Reality (VR) has shown promising potential in many applications, such as e-business, healthcare, and social networking. Rich information regarding users’ activities and online accounts is stored in VR devices. If they are care-lessly unattended, adversarial access will cause data breaches and other critical consequences. Practical user authentication schemes for VR devices are in dire need. Current solutions, including passwords, digital PINs, and pattern locks, mostly follow conventional approaches for general personal devices. They have been criticized for deficits in both security and usability. In this work, we propose SoundLock, a novel user authentication scheme for VR devices using auditory-pupillary response as biometrics. During authentication, auditory stimuli are presented to the user via the VR headset. The corresponding pupillary response is captured by the integrated eye tracker. User’s legitimacy is then determined by comparing the response with the template generated during the enrollment stage. To strike a balance between security and usability in the scheme design, an optimization problem is formulated. Due to its non- linearity, a two-stage heuristic algorithm is proposed to solve it efficiently. The solution provides necessary guidance for selecting effective auditory stimuli and determining their corresponding lengths. We demonstrate through extensive in-field experiments that SoundLock outperforms state-of-the-art biometric solutions with FAR (FRR) as low as 0.76% (0.91%) and is well received among participants in the user study.
SoundLock:一种基于听觉瞳孔响应的VR设备用户认证方案
-虚拟现实(VR)在许多应用中显示出巨大的潜力,例如电子商务、医疗保健和社交网络。有关用户活动和在线账户的丰富信息存储在VR设备中。如果不小心忽视,对抗性访问将导致数据泄露和其他严重后果。目前迫切需要实用的VR设备用户认证方案。目前的解决方案,包括密码、数字pin和模式锁,大多遵循一般个人设备的传统方法。它们在安全性和可用性方面都受到了批评。在这项工作中,我们提出了SoundLock,这是一种新的VR设备用户认证方案,使用听觉瞳孔响应作为生物识别技术。在认证过程中,通过VR头显向用户呈现听觉刺激。相应的瞳孔反应被集成眼动仪捕获。然后通过将响应与注册阶段生成的模板进行比较来确定用户的合法性。为了在方案设计中兼顾安全性和可用性,提出了一个优化问题。针对该问题的非线性特点,提出了一种两阶段启发式算法进行求解。该解决方案为选择有效的听觉刺激和确定其相应的长度提供了必要的指导。我们通过广泛的现场实验证明,SoundLock优于最先进的生物识别解决方案,其FAR (FRR)低至0.76%(0.91%),并且在用户研究参与者中受到好评。
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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