PPVR: A Privacy-Preserving Approach for User Behaviors in VR

Ruoxi Sun, Hanwen Wang, Minhui Xue, Hsiang-Ting Chen

Abstract: The increasing popularity of immersive environments creates a pressing challenge of reconciling service providers' desire to collect user behavior data with users' privacy concerns. In this study, we investi-gate the use of differential privacy (DP) algorithms in VR applications to enable statistical analysis of 3D spatial motion data while protecting against re-identification attacks. We assessed the efficacy of DP on both the original 3D spatial data and its cumulative heat map representation. This study underscores the utility of the DP algorithm in the context of 3D body motion data and highlights its potential for widespread adoption in diverse VR applications.