A First Look into Privacy Leakage in 3D Mixed Reality Data

Guzman, Jaybie A. de; Thilakarathna, Kanchana; Seneviratne, Aruna

doi:10.1007/978-3-030-29959-0_8

Cited by 10 publications

(4 citation statements)

References 20 publications

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“…Users must be able to set a rich set of preferences in a simple fashion on what they wish to share, and data processing should automatically ensure that. A variety of new signal processing techniques are emerging [39] to address security in the mixed-reality world of tomorrow that will become an integral part of the 6G network. Physical layer security mechanisms [40], [41] typically depend on the uniqueness of the wireless channel to establish authentication, confidentiality and key exchange, and may become more mature in the timeframe of 6G, addressing new issues such as jamming.…”

Section: F New Security Privacy and Trust Paradigmsmentioning

confidence: 99%

Communications in the 6G Era

Viswanathan

Mogensen²

2020

IEEE Access

581

263

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The focus of wireless research is increasingly shifting toward 6G as 5G deployments get underway. At this juncture, it is essential to establish a vision of future communications to provide guidance for that research. In this paper, we attempt to paint a broad picture of communication needs and technologies in the timeframe of 6G. The future of connectivity is in the creation of digital twin worlds that are a true representation of the physical and biological worlds at every spatial and time instant, unifying our experience across these physical, biological and digital worlds. New themes are likely to emerge that will shape 6G system requirements and technologies, such as: (i) new man-machine interfaces created by a collection of multiple local devices acting in unison; (ii) ubiquitous universal computing distributed among multiple local devices and the cloud; (iii) multi-sensory data fusion to create multi-verse maps and new mixed-reality experiences; and (iv) precision sensing and actuation to control the physical world. With rapid advances in artificial intelligence, it has the potential to become the foundation for the 6G air interface and network, making data, compute and energy the new resources to be exploited for achieving superior performance. In addition, in this paper we discuss the other major technology transformations that are likely to define 6G: (i) cognitive spectrum sharing methods and new spectrum bands; (ii) the integration of localization and sensing capabilities into the system definition, (iii) the achievement of extreme performance requirements on latency and reliability; (iv) new network architecture paradigms involving sub-networks and RAN-Core convergence; and (v) new security and privacy schemes.

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Section: F New Security Privacy and Trust Paradigmsmentioning

confidence: 99%

Communications in the 6G Era

Viswanathan

Mogensen²

2020

IEEE Access

581

263

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“…The collected studies discussing or proposing threat models consider application developers [27,29,30,32,45,59,60,70,72,74,92,126,130,139,161], servers [7,30,92,123], content creators [40,92], device manufacturers [92,131], other users [69,105,125,150], and hackers 1 [40,62,139] as the attackers in VR, or rely on general privacy threat models like Lindunn [31,34,64,70]. Based on these studies and their system decomposition, we adopt a more comprehensive and pervasive privacy-centered attacker classification for VR that encompasses the privacy repercussions of the above threat models.…”

Section: Vr Threatsmentioning

confidence: 99%

SoK: Data Privacy in Virtual Reality

Munilla Garrido,

Nair,

Song

2024

PoPETs

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The adoption of virtual reality (VR) technologies has rapidly gained momentum in recent years as companies around the world begin to position the so-called ''metaverse'' as the next major medium for accessing and interacting with the internet. While consumers have become accustomed to a degree of data harvesting on the web, the real-time nature of data sharing in the metaverse indicates that privacy concerns are likely to be even more prevalent in the new ''Web 3.0.'' Research into VR privacy has demonstrated that a plethora of sensitive personal information is observable by various would-be adversaries from just a few minutes of telemetry data. On the other hand, we have yet to see VR parallels for many privacy-preserving tools aimed at mitigating threats on conventional platforms. This paper aims to systematize knowledge on the landscape of VR privacy threats and countermeasures by proposing a comprehensive taxonomy of data attributes, protections, and adversaries based on the study of 74 collected publications. We complement our qualitative discussion with a statistical analysis of the risk associated with various data sources inherent to VR in consideration of the known attacks and defenses. By focusing on highlighting the clear outstanding opportunities, we hope to motivate and guide further research into this increasingly important field.

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“…Ref. [84] proposed a model for preserving the security of 3D MR data (such as point clouds). This model formulated the security of 3D data and the necessary metrics using the adversarial inference model.…”

Section: Security and Privacymentioning

confidence: 99%

“…To develop security strategies, one must consider concepts such as unlinkability to specify the proper management of the user, entity, party, and links with data, flow, and process, in addition to considering the concept of plausible deniability to manage the denial of individuals (i.e., toward each other or the entity during the process) [6]. The geometry-based inference model for 3D MR could be improved by incorporating photogrammetric information such as an RGB color profile [84]. Table 3.…”

Section: Security and Privacymentioning

confidence: 99%

A Review on Mixed Reality: Current Trends, Challenges and Prospects

2020

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Currently, new technologies have enabled the design of smart applications that are used as decision-making tools in the problems of daily life. The key issue in designing such an application is the increasing level of user interaction. Mixed reality (MR) is an emerging technology that deals with maximum user interaction in the real world compared to other similar technologies. Developing an MR application is complicated, and depends on the different components that have been addressed in previous literature. In addition to the extraction of such components, a comprehensive study that presents a generic framework comprising all components required to develop MR applications needs to be performed. This review studies intensive research to obtain a comprehensive framework for MR applications. The suggested framework comprises five layers: the first layer considers system components; the second and third layers focus on architectural issues for component integration; the fourth layer is the application layer that executes the architecture; and the fifth layer is the user interface layer that enables user interaction. The merits of this study are as follows: this review can act as a proper resource for MR basic concepts, and it introduces MR development steps and analytical models, a simulation toolkit, system types, and architecture types, in addition to practical issues for stakeholders such as considering MR different domains.

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A First Look into Privacy Leakage in 3D Mixed Reality Data

Cited by 10 publications

References 20 publications

Communications in the 6G Era

Communications in the 6G Era

SoK: Data Privacy in Virtual Reality

A Review on Mixed Reality: Current Trends, Challenges and Prospects

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