On the privacy and security for e-health services in the metaverse: An overview
Document Type
Article
Source of Publication
Ad Hoc Networks
Publication Date
8-1-2023
Abstract
Metaverse-enabled healthcare systems are expected to efficiently utilize an unprecedented amount of health-related data without disclosing sensitive or private information of individuals during data collection, communications, and learning-based processing. In this paper, we study the privacy and security of the metaverse healthcare from different aspects. Specifically, we first investigate the security of data collection and communications in the access layer of the metaverse. We then go through the privacy and security issues inside the metaverse, by addressing the privacy and security threats of utilizing clinical machine learning for intelligent e-health. From a human-centric perspective, privacy of social interactions among patients in a metaverse-enabled healthcare platform is also studied. We try to provide a holistic and less-investigated approach to help metaverse-as-a-health service providers facilitate the realization of secure and private e-health services from different aspects, ranging from the access layer to the social interactions among clients. Future vision and directions are also discussed to bring further insights for the network designers in the metaverse era.
DOI Link
ISSN
Publisher
Elsevier BV
First Page
103262
Last Page
103262
Disciplines
Computer Sciences
Keywords
Metaverse for e-health, Quality-of-security, Secure semantic communications, Blockchain technology, Secure machine learning, Private activities, Private distributed learning
Recommended Citation
Letafati, Mehdi and Otoum, Safa, "On the privacy and security for e-health services in the metaverse: An overview" (2023). All Works. 5929.
https://zuscholars.zu.ac.ae/works/5929
Indexed in Scopus
no
Open Access
no