Security and Privacy Approaches in Mixed Reality: A Literature Survey
arXiv:1802.05797 · doi:10.1145/3359626
Abstract
Mixed reality (MR) technology development is now gaining momentum due to advances in computer vision, sensor fusion, and realistic display technologies. With most of the research and development focused on delivering the promise of MR, there is only barely a few working on the privacy and security implications of this technology. This survey paper aims to put in to light these risks, and to look into the latest security and privacy work on MR. Specifically, we list and review the different protection approaches that have been proposed to ensure user and data security and privacy in MR. We extend the scope to include work on related technologies such as augmented reality (AR), virtual reality (VR), and human-computer interaction (HCI) as crucial components, if not the origins, of MR, as well as numerous related work from the larger area of mobile devices, wearables, and Internet-of-Things (IoT). We highlight the lack of investigation, implementation, and evaluation of data protection approaches in MR. Further challenges and directions on MR security and privacy are also discussed.
arXiv comment41 pages, 11 figures, 2 tables (3 tables at the appendix); updated references in page 14
References in corpus (12)
- Explaining and Harnessing Adversarial Examples
- Ensemble Adversarial Training: Attacks and Defenses
- RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
- Towards Deep Neural Network Architectures Robust to Adversarial Examples
- Certified Defenses against Adversarial Examples
- ReCon: Revealing and Controlling PII Leaks in Mobile Network Traffic
- P3: Toward Privacy-Preserving Photo Sharing
- Privacy-Protective-GAN for Face De-identification
- Cardea: Context-Aware Visual Privacy Protection from Pervasive Cameras
- Risk Perceptions for Wearable Devices
- Challenges and New Directions in Augmented Reality, Computer Security, and Neuroscience -- Part 1: Risks to Sensation and Perception
- Cloud-based Privacy Preserving Image Storage, Sharing and Search
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- Going Incognito in the Metaverse: Achieving Theoretically Optimal Privacy-Usability Tradeoffs in VR
- The Dark Side of Augmented Reality: Exploring Manipulative Designs in AR
- SoK: Data Privacy in Virtual Reality
- A Survey on Privacy for B5G/6G: New Privacy Challenges, and Research Directions
- Privacy in Immersive Extended Reality: Exploring User Perceptions, Concerns, and Coping Strategies
- Assessing User Apprehensions About Mixed Reality Artifacts and Applications: The Mixed Reality Concerns (MRC) Questionnaire
- Pushing the Boundaries of Immersion and Storytelling: A Technical Review of Unreal Engine
- Customizing Generated Signs and Voices of AI Avatars: Deaf-Centric Mixed-Reality Design for Deaf-Hearing Communication
- Conservative Plane Releasing for Spatial Privacy Protection in Mixed Reality
- Beyond the Headset: A Systematization of Knowledge on Extended Reality Privacy and Security in Healthcare
- User configurable 3D object regeneration for spatial privacy