6G Technology in Intelligent Healthcare: Smart Health and Its Security and Privacy Perspectives

This article explores the integration of 6G technology in intelligent healthcare, focusing on crucial security and privacy concerns amidst the growing demand for advanced solutions driven by aging populations. Recognizing the potential of 6G's high bandwidth, low latency, and enhanced security features, this article proposes a multi-layered security and privacy framework incorporating artificial intelligence, machine learning, and distributed ledger technology to safeguard sensitive patient data within the 6G ecosystem. This holistic framework addresses potential vulnerabilities in emerging 6G healthcare applications, such as holographic telepresence and digital twin technology, by implementing robust encryption, authentication, and access control mechanisms. Furthermore, the article examines the transformative impact of 6G on these applications, enabling real-time remote diagnosis and personalized treatment plans with enhanced security and privacy. By addressing the unique security challenges and unlocking novel use cases, this article provides a multi-layer framework for realizing the full potential of 6G in revolutionizing healthcare delivery.

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Publication Details

Journal
IEEE Wireless Communications
Published
2025-02-01
DOI
https://doi.org/10.1109/mwc.001.2400026
Citations
12
Primary Topic
Internet of Things and AI
Type
article
Field-Weighted Citation Impact
38.95
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article

6G Technology in Intelligent Healthcare: Smart Health and Its Security and Privacy Perspectives

Muhammad Irfan Khan, Narges Arastouei
12 citations
IEEE Wireless Communications
Internet of Things and AI
38.95
article

6G Technology in Intelligent Healthcare: Smart Health and Its Security and Privacy Perspectives

Muhammad Irfan Khan, Narges Arastouei
article en
12 citations

Abstract

This article explores the integration of 6G technology in intelligent healthcare, focusing on crucial security and privacy concerns amidst the growing demand for advanced solutions driven by aging populations. Recognizing the potential of 6G's high bandwidth, low latency, and enhanced security features, this article proposes a multi-layered security and privacy framework incorporating artificial intelligence, machine learning, and distributed ledger technology to safeguard sensitive patient data within the 6G ecosystem. This holistic framework addresses potential vulnerabilities in emerging 6G healthcare applications, such as holographic telepresence and digital twin technology, by implementing robust encryption, authentication, and access control mechanisms. Furthermore, the article examines the transformative impact of 6G on these applications, enabling real-time remote diagnosis and personalized treatment plans with enhanced security and privacy. By addressing the unique security challenges and unlocking novel use cases, this article provides a multi-layer framework for realizing the full potential of 6G in revolutionizing healthcare delivery.

IEEE Wireless CommunicationsVol. 32(1)
Goethe University Frankfurt (DE)
Openalex Percentile: Top 0%
Internet of Things and AI
38.95
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