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Spatiotemporal security in mixed reality systems

Published: 16 November 2020 Publication History

Abstract

This paper exhaustively explores the threat landscape of coordinated spatiotemporal attacks in mixed reality systems. Novel devicelevel and cross-device time translation and spatial shift attacks are launched, and their impact on deep learning based sensor fusion is evaluated. A major focus of this work is to establish stealthiness in the presence of sophisticated security mechanisms with an added constraint that mixed reality systems allow minimal time durations for covert operation. The efficacy of proposed attacks is evaluated through a preliminary study on inertial and visual data streams.

References

[1]
P. Casey, I. Baggili, and A. Yarramreddy. 2019. Immersive Virtual Reality Attacks and the Human Joystick. IEEE TDSC (2019).
[2]
C. Chen, P. Zhao, C.X. Lu, W. Wang, A. Markham, and N. Trigoni. 2018. OxIOD: The Dataset for Deep Inertial Odometry. arXiv:1809.07491 [cs.RO]
[3]
S. S. Sandha, J. Noor, F. M. Anwar, and M. Srivastava. 2020. Time Awareness in Deep Learning-Based Multimodal Fusion Across Smartphone Platforms. In IEEE/ACM IoTDI.
[4]
I. Sluganovic, M. Serbec, A. Derek, and I. Martinovic. 2017. HoloPair: Securing Shared Augmented Reality Using Microsoft HoloLens. In ACSAC.
[5]
Y. Tu, Z. Lin, I. Lee, and X. Hei. 2018. Injected and Delivered: Fabricating Implicit Control over Actuation Systems by Spoofing Inertial Sensors. In USENIX Security.

Cited By

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  • (2024)From Embodied Abuse to Mass Disruption: Generative, Inter-Reality Threats in Social, Mixed-Reality PlatformsDigital Threats: Research and Practice10.1145/36960155:4(1-36)Online publication date: 17-Sep-2024

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cover image ACM Conferences
SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor Systems
November 2020
852 pages
ISBN:9781450375900
DOI:10.1145/3384419
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 November 2020

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View all
  • (2024)From Embodied Abuse to Mass Disruption: Generative, Inter-Reality Threats in Social, Mixed-Reality PlatformsDigital Threats: Research and Practice10.1145/36960155:4(1-36)Online publication date: 17-Sep-2024

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