Abstract
Mixed reality (MR) has recently emerged as a popular technology enabling people to interact with virtual and physical worlds. MR involves a combination of complex and advanced technologies, including hardware and software, where users’ private data are collected, stored, and processed. Keeping user data secure and private while letting users control their data is not popular among current MR platform owners or third parties. This research proposes a generic blockchain-based MR framework to protect users’ private data and alert them about their data access. Blockchain is a data protection layer on MR platforms and relies on fog to support latency-sensitive MR applications. This article presents a framework with core components, followed by a case study elaborating on accessing medical records to present its usefulness. We also present the results of network performance tests, design considerations, and existing technical challenges.
Originalsprog | Engelsk |
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Titel | Proceedings of the 57th Annual Hawaii International Conference on System Sciences, HICSS 2024 |
Redaktører | Tung X. Bui |
Antal sider | 10 |
Udgivelsessted | Honolulu |
Forlag | Hawaii International Conference on System Sciences (HICSS) |
Publikationsdato | 2024 |
Sider | 3749-3758 |
ISBN (Trykt) | 9780998133171 |
ISBN (Elektronisk) | 9780998133171 |
Status | Udgivet - 2024 |
Begivenhed | The 57th Hawaii International Conference on System Sciences. HICSS 2024 - Hilton Hawaiian Village Waikiki Beach Resort, Honolulu, USA Varighed: 3 jan. 2024 → 6 jan. 2024 Konferencens nummer: 57 https://hicss.hawaii.edu/ |
Konference
Konference | The 57th Hawaii International Conference on System Sciences. HICSS 2024 |
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Nummer | 57 |
Lokation | Hilton Hawaiian Village Waikiki Beach Resort |
Land/Område | USA |
By | Honolulu |
Periode | 03/01/2024 → 06/01/2024 |
Sponsor | Association for Information Systems, National Security Agency, University of Arkansas, University of Hawaii at Manoa |
Internetadresse |
Navn | Proceedings of the Annual Hawaii International Conference on System Sciences |
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ISSN | 1060-3425 |
Emneord
- Blockchain
- Cloud
- Data
- Fog
- Health
- Privacy
- Mixed reality