A metaverse framework for IoT-based remote patient monitoring and virtual consultations using AES-256 encryption

dc.contributor.authorMohammed, Zainab Khalid
dc.contributor.authorMohammed, Mazin Abed
dc.contributor.authorAbdulkareem, Karrar Hameed
dc.contributor.authorZebari, Dilovan Asaad
dc.contributor.authorLakhan, Abdullah
dc.contributor.authorMarhoon, Haydar Abdulameer
dc.contributor.authorNedoma, Jan
dc.contributor.authorMartinek, Radek
dc.date.accessioned2024-12-13T12:50:53Z
dc.date.available2024-12-13T12:50:53Z
dc.date.issued2024
dc.description.abstractThe convergence of Internet of Things (IoT) and metaverse technologies is revolutionizing healthcare. This study introduces a pioneering framework tailored for health monitoring within the metaverse. By reshaping remote patient monitoring and virtual consultations, the framework utilizes vital parameters like heart rate, blood pressure, and body temperature. It integrates IoT sensors, augmented reality (AR), and virtual reality (VR), establishing a cohesive metaverse environment for healthcare interactions. Notably, robust 256-bit AES encryption ensures data privacy and security. Our analysis highlights the pivotal role of metaverse architecture in healthcare, emphasizing the efficacy of AES-256 encryption in preserving patient confidentiality. Findings underscore the framework's potential to enhance remote patient care while upholding stringent data privacy standards. Moreover, it fosters trust among patients, healthcare providers, and regulatory bodies. In summary, this comprehensive framework marks a significant advancement in remote patient care, promising improved health outcomes and a secure foundation for healthcare in the metaverse.cs
dc.description.firstpageart. no. 111588cs
dc.description.sourceWeb of Sciencecs
dc.description.volume158cs
dc.identifier.citationApplied Soft Computing. 2024, vol. 158, art. no. 111588.cs
dc.identifier.doi10.1016/j.asoc.2024.111588
dc.identifier.issn1568-4946
dc.identifier.issn1872-9681
dc.identifier.urihttp://hdl.handle.net/10084/155413
dc.identifier.wos001229645800001
dc.language.isoencs
dc.publisherElseviercs
dc.relation.ispartofseriesApplied Soft Computingcs
dc.relation.urihttps://doi.org/10.1016/j.asoc.2024.111588cs
dc.rights© 2024 Elsevier B.V. All rights reserved.cs
dc.subjectmetaversecs
dc.subjectInternet of Thingscs
dc.subjectadvanced encryption standardcs
dc.subjectremote patient monitoring systemcs
dc.subjectvirtual consultationscs
dc.titleA metaverse framework for IoT-based remote patient monitoring and virtual consultations using AES-256 encryptioncs
dc.typearticlecs
dc.type.statusPeer-reviewedcs

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