xr-droid: A Benchmark Dataset for AR/VR and Security Applications

The development of metaverses and virtual worlds on various platforms, including mobile devices, has led to the growth of applications in virtual reality (VR) and augmented reality (AR) in recent years. This application growth is paralleled by a growth of interest in analyzing and understanding AR/VR applications from security and performance standpoints. Despite this growing interest, benchmark datasets are lacking to facilitate this research pursuit. In this paper, we collect a dataset that consists of 408 diverse AR/VR applications from the Google Play Store and acquire various data modalities associated with those applications standardized in the form of seven features: control flow graphs, strings, functions, permissions, API calls, hexdump, and metadata. We highlight various research endeavors (applications) that can benefit from our dataset for each data modality.

近年来，随着各种平台，包括移动设备上元宇宙和虚拟世界的开发，虚拟现实（VR）和增强现实（AR）应用的增长趋势愈发显著。这种应用的增长与对从安全性和性能角度分析和理解AR/VR应用的兴趣增长相辅相成。尽管对此的兴趣日益浓厚，但缺乏基准数据集来促进这一研究进程。在本文中，我们收集了一个数据集，该数据集包含来自Google Play Store的408个多样化的AR/VR应用，并获取了与这些应用相关的各种数据模态，这些数据模态以七个特征的形式进行标准化：控制流图、字符串、函数、权限、API调用、十六进制转储和元数据。我们强调，针对每种数据模态，我们的数据集都能为众多研究（应用）带来益处。