虚拟现实中行为身份检测的隐私威胁

Dilshani Kumarapeli, Sungchul Jung, R. Lindeman
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引用次数: 0

摘要

现代VR技术通过在用户周围安装各种传感器来产生大量数据。随着时间的推移,研究人员已经使用这些数据来创建独特的行为密钥,为沉浸式应用程序提供身份验证。然而,这些方法伴随着各种行为隐私风险。因此,通过这项工作,我们研究了VR中与行为身份检测相关的隐私风险,以及用户的外表如何影响这种行为检测。我们发现,一旦被跟踪,用户可以在不同的会话中被识别出来,准确率为80%,并且外表不会影响行为检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Privacy Threats of Behaviour Identity Detection in VR
Modern VR technology generates large volumes of data by attaching various sensors around the user. Over time, researchers have used these data to create unique behavioural keys to provide authentication to immersive applications. However, these approaches come with various behavioural privacy risks. Hence, through this work, we investigate the privacy risks associated with behavioural identity detection in VR and how users' physical appearance affects this behavioural detection. We found that users could be identified across various sessions with 80% accuracy once tracked, and that physical appearance did not impact the behaviour detection.
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