Aplikasi Ruangan Maya Berbasis Android OS pada Headset Virtual Reality Oculus Quest 2

Santoso, Alvin Christopher; Santoso, Petrus

doi:10.56795/fortech.v3i2.321

Cited by 1 publication

(1 citation statement)

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“…As a result, VR apps share common features with conventional mobile apps and also inherit their intrinsic deficiencies. For example, many VR apps run on top of Android OS with underlying VR devices (e.g., Meta's Oculus Quest 2 [13] and ByteDance's Pico 4 [25]). Consequently, VR apps developed based on these VR devices are packaged as Android PacKage (APK) files.…”

Section: Introductionmentioning

confidence: 99%

An Empirical Study on Oculus Virtual Reality Applications: Security and Privacy Perspectives

Guo,

Dai,

Luo

et al. 2024

Proceedings of the IEEE/ACM 46th International Conference on Software Engineering

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Although Virtual Reality (VR) has accelerated its prevalent adoption in emerging metaverse applications, it is not a fundamentally new technology. On one hand, most VR operating systems (OS) are based on off-the-shelf mobile OS (e.g., Android). As a result, VR apps also inherit privacy and security deficiencies from conventional mobile apps. On the other hand, in contrast to conventional mobile apps, VR apps can achieve immersive experience via diverse VR devices, such as head-mounted displays, body sensors, and controllers though achieving this requires the extensive collection of privacy-sensitive human biometrics (e.g., hand-tracking and facetracking data). Moreover, VR apps have been typically implemented by 3D gaming engines (e.g., Unity), which also contain intrinsic security vulnerabilities. Inappropriate use of these technologies may incur privacy leaks and security vulnerabilities although these issues have not received significant attention compared to the proliferation of diverse VR apps. In this paper, we develop a security and privacy assessment tool, namely the VR-SP detector for VR apps. The VR-SP detector has integrated program static analysis tools and privacy-policy analysis methods. Using the VR-SP detector, we conduct a comprehensive empirical study on 500 popular VR apps. We obtain the original apps from the popular Oculus and SideQuest app stores and extract APK files via the Meta Oculus Quest 2 device. We evaluate security vulnerabilities and privacy data leaks of these VR apps by VR app analysis, taint analysis, and privacy-policy analysis. We find that a number of security vulnerabilities and privacy leaks widely exist in VR apps. Moreover, our results also reveal conflicting representations in the privacy policies of these apps and inconsistencies of the actual data collection with

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Section: Introductionmentioning

confidence: 99%