Privacy Threats of Behaviour Identity Detection in VR

Abstract

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.