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Security and Privacy in Virtual Reality: A Literature Survey

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arxiv 2205.00208 v4 pith:R54CH2S2 submitted 2022-04-30 cs.CR

Alberto Giaretta This is my paper · ORCID
classification cs.CR
keywords securityprivacycybersecurityeffectsfieldrealitythreatsvirtual
verification ladder T0 review T1 audit T2 compute T3 formal

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Virtual reality (VR) is a multibillionaire market that keeps growing, year after year. As VR is becoming prevalent in households and small businesses, it is critical to address the effects that this technology might have on the privacy and security of its users. In this paper, we explore the state-of-the-art in VR privacy and security, we categorise potential issues and threats, and we analyse causes and effects of the identified threats. Besides, we focus on the research previously conducted in the field of authentication in VR, as it stands as the most investigated area in the topic. We also provide an overview of other interesting uses of VR in the field of cybersecurity, such as the use of VR to teach cybersecurity or evaluate the usability of security solutions.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Predicting 3D Motion from 2D Video for Behavior-Based VR Biometrics

    cs.CV 2025-02 conditional novelty 6.0 of 10

    Predicting 3D controller motion from 2D body joints captured by an external camera improves VR user authentication, achieving a 0.025 equal error rate (EER) on a ball-throwing task.

  2. Identifying Ethical Challenges in XR Implementations in the Industrial Domain: A Case of Off-Highway Machinery

    cs.HC 2025-04 conditional novelty 4.0 of 10

    The authors identify five key privacy and ethical challenges for industrial XR in off-highway machinery, based on workshops with 24 participants and a literature review.

  3. Biometrics in Extended Reality: A Review

    cs.CR 2024-11 conditional novelty 3.0 of 10

    A literature review on biometric authentication, attacks, photorealistic avatars, and datasets in extended reality, built around a proposed vulnerability taxonomy.

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