SurroundWeb: Mitigating Privacy Concerns in a 3D Web Browser

Vilk, John; Molnár, Dávid; Livshits, Benjamin; Ofek, Eyal; Rossbach, Chris; Moshchuk, Alexander; Wang, Helen J.; Gal, Ran

doi:10.1109/sp.2015.33

Cited by 28 publications

(17 citation statements)

References 15 publications

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“…Surface detection has also inspired the development sophisticated 'immersive room' environments, in which projection surfaces encompass entire walls while maintaining awareness of objects within the room [102,214,215]. Surfaces can be detected dynamically to allow projection onto moving surfaces such as paper or people's hands [176,226].…”

Section: Related Workmentioning

confidence: 99%

The personal cockpit

Ens

Finnegan

Irani

2014

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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Section: Related Workmentioning

confidence: 99%

The personal cockpit

Ens

Finnegan

Irani

2014

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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“…Least privilege has been used in this context (Vilk et al 2014). For example, in a room-scale MR environment, only the skeletal information of the room, and the location and orientation of the detected surfaces (or display devices) is made known to the applications that wish to display content on these display surfaces (Vilk et al 2015). is utilizes the same abstraction strategy which have been used both in input and data protection to provide unobservability & undetectability and authorized access.…”

Section: Threats Duringmentioning

confidence: 99%

Security and Privacy Approaches in Mixed Reality

2019

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and Data 61, CSIRO KANCHANA THILAKARATHNA, University of Sydney and Data 61, CSIRO ARUNA SENEVIRATNE, University of New South Wales and Data 61, CSIRO 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. is survey paper aims to put in to light these risks, and to look into the latest security and privacy work on MR. Speci cally, we list and review the di erent 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-ings (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. 2 works from Scopus by separately searching for AR/VR/MR works with security and privacy from Google Scholar, IEEE Xplore, ACM Digital Library, and other speci c venues covering computer vision, human-machine interfaces, and other related technologies. Previous Surveys and Meta-analysesEarly surveys on AR and MR, have been focused on categorizing the existing technologies then. In 1994, a taxonomy for classifying mixed reality displays based on the user-interface -from monitor-based video displays to completely immersive environments -were presented and these devices were plo ed along a reality-virtuality continuum . On the other hand, in contrast to this one-dimensional continuum, two di erent classi cations for mixed reality were also presented: (1) a two-dimensional categorization of shared space or collaborative mixed reality technologies according to concepts of transportation 1 and arti ciality 2 , and (2) a one-dimensional classi cation based on spatiality 3 (Benford et al. 1996).Succeeding endeavours have focused on collecting all relevant technologies necessary to AR and VR. e various early challenges -such as matching the real and virtual displays, aligning the virtual objects with the real world, and the various errors that needs to be addressed such as optical distortion, misalignment, and tracking -have been discussed in broad (Azuma 1997). It was complemented with a following survey that focuses on the enabling technologies, interfacing, and visualization (Azuma et al. 2001). A much more recent survey updated the existing challenges to the following: performance, alignment, interaction, mobility, and visualization (Rabbi and Ullah 2013). Another one looked into a speci c type of AR, mobile AR, and looked into the di erent technologies that enable mobility with AR (Chatzopoulos et a...

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“…They also demonstrate a visualisation to show users how data (related to privacy) is exposed, and survey 462 participants to establish a privacy ordering over recognisers. Vilk et al (2015) discuss privacy concerns from the raw data from novel input devices, by examining how they may emerge on the Web. They demonstrate a proof of concept that projects Web page content across multiple surfaces in a room, and runs across multiple mobile platforms taking natural user inputs.…”

Section: Related Workmentioning

confidence: 99%

Cyber Security Threats and Challenges in Collaborative Mixed-Reality

Happa

Glencross²,

Steed

2019

Front. ICT

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Collaborative Mixed-Reality (CMR) applications are gaining interest in a wide range of areas including games, social interaction, design and health-care. To date, the vast majority of published work has focused on display technology advancements, software, collaboration architectures and applications. However, the potential security concerns that affect collaborative platforms have received limited research attention. In this position paper, we investigate the challenges posed by cyber-security threats to CMR systems. We focus on how typical network architectures facilitating CMR and how their vulnerabilities can be exploited by attackers, and discuss the degree of potential social, monetary impacts, psychological and other harms that may result from such exploits. The main purpose of this paper is to provoke a discussion on CMR security concerns. We highlight insights from a cyber-security threat modelling perspective and also propose potential directions for research and development toward better mitigation strategies. We present a simple, systematic approach to understanding a CMR attack surface through an abstraction-based reasoning framework to identify potential attack vectors. Using this framework, security analysts, engineers, designers and users alike (stakeholders) can identify potential Indicators of Exposures (IoE) and Indicators of Compromise (IoC). Our framework allows stakeholders to reduce their CMR attack surface as well understand how Intrusion Detection System (IDS) approaches can be adopted for CMR systems. To demonstrate the validity to our framework, we illustrate several CMR attack surfaces through a set of use-cases. Finally, we also present a discussion on future directions this line of research should take.

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SurroundWeb: Mitigating Privacy Concerns in a 3D Web Browser

Cited by 28 publications

References 15 publications

The personal cockpit

The personal cockpit

Security and Privacy Approaches in Mixed Reality

Cyber Security Threats and Challenges in Collaborative Mixed-Reality

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