Cybersecurity Risk Assessment and Reduction for AR Environments

Sensitive enterprise or customer data could be exposed to threats from hostile actors when in field of view of AR-enabled cameras, and/or when sent to users’ AR device in order to support their task performance. The hostile actors may interfere with transmission of sensitive data, interrupt or distort its presentation to the user in the AR display, or could operate without detection while “scraping” enterprise or customer data for other users. Cybersecurity threat identification and assessment, and mitigation measures for those managing the AR displays in a company are critical to integration of AR in mission critical environments and need to be studied.

Approaches to reducing risk and increasing resilience of AR display devices can be tested and industry guidelines and best practices published by and for cybersecurity experts. The scope of the research could include comparisons of device vs wireless network security.

Stakeholders

Data security officers, employees working in highly sensitive disciplines, customer data protection, employees using AR in the field to access secure databases,

Possible Methodologies

This project will require laboratory or bench studies with cybersecurity threats into commercial wearable AR displays will highlight vulnerabilities. Tests of commercial or experimental software to manage sensitive data can be conducted in simulated environments. Further, after the tests in simulation, there should be research on the use of the threat mitigation systems in live environments.

Research Program

This topic or theme of research can be combined with assessments of geofencing, biomarkers for user authentication and other methods to reduce risks to enterprise data.

Miscellaneous Notes

In 2017, this topic was the focus of the first AREA-directed research project. The AREA published the first report on the topic of security for wearable AR displays to members in June 2017 and released the report and assessment protocol to the ecosystem in mid-2019.

Keywords

Cybersecurity, risk, encryption, distributed ledger technologies, integration, data interception, network security, security of data, computer crime, computer network security, computer privacy, cryptographic protocols, fraud, intrusion detection, data protection, blockchain, access control

Research Agenda Categories

Technology, Business

Expected Impact Timeframe

Medium

Related Publications

Using the words in this topic description and Natural Language Processing analysis of publications in the AREA FindAR database, the references below have the highest number of matches with this topic:

• Bermejo, C., Huang, Z., Braud, T., & Hui, P. (2017). When Augmented Reality meets Big Data. 2017 IEEE 37th International Conference on Distributed Computing Systems Workshops (ICDCSW).
• Lutz, R. R. (2018). Safe-AR: Reducing Risk While Augmenting Reality. 2018 IEEE 29th International Symposium on Software Reliability Engineering (ISSRE).
• Lebeck, K., Ruth, K., Kohno, T., & Roesner, F. (2018). Towards Security and Privacy for Multi-user Augmented Reality: Foundations with End Users. 2018 IEEE Symposium on Security and Privacy (SP).
• Ramaseri Chandra, A. N., El Jamiy, F., & Reza, H. (2019). Augmented Reality for Big Data Visualization: A Review. 2019 International Conference on Computational Science and Computational Intelligence (CSCI).
• Hirve, S. A., Kunjir, A., Shaikh, B., & Shah, K. (2017). An approach towards data visualization based on AR principles. 2017 International Conference on Big Data Analytics and Computational Intelligence (ICBDAC).

More publications can be explored using the AREA FindAR research tool.

Author

Christine Perey

Last Published (yyyy-mm-dd)

2021-08-31

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