Detecting and Preventing Faked Mixed Reality

Kilger, Fabian; Kabil, Alexandre; Tippmann, Volker; Klinker, Gudrun; Pahl, Marc-Oliver

doi:10.1109/mipr51284.2021.00074

2021 IEEE 4th International Conference on Multimedia Information Processing and Retrieval (MIPR) 2021

DOI: 10.1109/mipr51284.2021.00074

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Detecting and Preventing Faked Mixed Reality

Fabian Kilger

Alexandre Kabil

Volker Tippmann³

et al.

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2024

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Cited by 1 publication

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TARPS: A Toolbox for Enhancing Privacy and Security for Collaborative AR

Krings,

Yigitbas

2024

Proc. ACM Hum.-Comput. Interact.

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Modern AR applications collect a wide range of data to leverage context-specific functionalities. This includes data that might be private or security-critical (e.g., the camera view of a private home), calling for protective measures, especially in collaborative settings where data is inherently shared. A literature research revealed a lack of development support for privacy and security in collaborative AR. This makes it difficult for developers to find the time and resources to include protection mechanisms, leading to very limited options for end-users to control what data about them is shared. To address this problem, we present TARPS, a development Toolbox for enhancing collaborative AR applications with Privacy and Security protection mechanisms. TARPS is an out-of-the-box solution to add protection features to collaborative AR applications in a configurable manner. In developer interviews, the idea of TARPS was well received and an end-user study with an application created using TARPS showed that the included protection features were usable and accepted by end-users.

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TARPS: A Toolbox for Enhancing Privacy and Security for Collaborative AR

Krings,

Yigitbas

2024

Proc. ACM Hum.-Comput. Interact.

View full text Add to dashboard Cite

show abstract

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Detecting and Preventing Faked Mixed Reality

Cited by 1 publication

References 52 publications

TARPS: A Toolbox for Enhancing Privacy and Security for Collaborative AR

TARPS: A Toolbox for Enhancing Privacy and Security for Collaborative AR

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