Extended Reality (XR), including Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR), offers immersive experiences in entertainment, healthcare, and education.
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Authors: Mohammed El-Hajj
Publication Date: 30 December 2024
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Keywords: Extended reality (XR); cybersecurity; privacy; elliptic curve cryptography; authentication; data anonymization; adversary model; AI-based security; behavioral data privacy; XR security solutions
Type: Peer-Reviewed Journals/White Papers
Extended Reality (XR), including Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR), offers immersive experiences in entertainment, healthcare, and education. However, its interactive and data-intensive nature poses cybersecurity and privacy challenges. This paper outlines an adversary model to identify threat actors and attack vectors in XR, highlighting risks such as identity theft and behavioral data leakage, which enable profiling, manipulation, and invasive advertising. We explore mitigation strategies, including AES, RSA, and ECC encryption, multi-factor and biometric authentication, data anonymization, and AI-driven anomaly detection for real-time monitoring. A comparative benchmark evaluates these solutions' strengths, limitations, and practicality in XR. The findings advocate a holistic approach combining technical safeguards and privacy-focused policies to secure XR ecosystems and build user trust.
