5GSS: a framework for 5G-secure-smart healthcare monitoring
Currently, the main challenges of the frameworks for healthcare monitoring are as follows: minimising latency, especially for delay-sensitive diseases such as sudden heart disease; identifying health situation in a timely and accurate manner when correlating physiological indicators and context info...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2022-12-01
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| Series: | Connection Science |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/09540091.2021.1977243 |
| _version_ | 1797684089672695808 |
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| author | Jianqiang Hu Wei Liang Osama Hosam Meng-Yen Hsieh Xin Su |
| author_facet | Jianqiang Hu Wei Liang Osama Hosam Meng-Yen Hsieh Xin Su |
| author_sort | Jianqiang Hu |
| collection | DOAJ |
| description | Currently, the main challenges of the frameworks for healthcare monitoring are as follows: minimising latency, especially for delay-sensitive diseases such as sudden heart disease; identifying health situation in a timely and accurate manner when correlating physiological indicators and context information; reducing the risk of exposure because health data are highly private. In response to the above, this paper proposes a framework for 5G-secure-smart healthcare monitoring (5GSS) to achieve the following goals: fast and accurate identification of context-aware health situation, blockchain-based secure data sharing, and low-latency services for emergent patients. The framework consists of a data acquisition layer, a diagnosis and security layer (edge cloud), and a health service layer. The proposed framework adopts the following key technologies: a 5G-IPv6 communication network, context-aware health situation identification-based similarity measure, and blockchain-based secure data sharing mechanism. Finally, a prototype system has been implemented to monitor hypertensive heart disease, confirming its effectiveness with respect to a real scenario. Combined with the data of 45 patients, the prototype system can identify health situations with an accuracy of 96.34% at a sensitivity of 92.46% and a specificity of 93.62%, while significantly reducing the latency and improving the data sharing security. |
| first_indexed | 2024-03-12T00:24:34Z |
| format | Article |
| id | doaj.art-b6034bff7a2e4f678e4efb128fbe7716 |
| institution | Directory Open Access Journal |
| issn | 0954-0091 1360-0494 |
| language | English |
| last_indexed | 2024-03-12T00:24:34Z |
| publishDate | 2022-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Connection Science |
| spelling | doaj.art-b6034bff7a2e4f678e4efb128fbe77162023-09-15T10:47:59ZengTaylor & Francis GroupConnection Science0954-00911360-04942022-12-0134113916110.1080/09540091.2021.197724319772435GSS: a framework for 5G-secure-smart healthcare monitoringJianqiang Hu0Wei Liang1Osama Hosam2Meng-Yen Hsieh3Xin Su4Xiamen University of TechnologyHunan UniversityTaibah UniversityProvidence UniversityHunan Provincial Key Laboratory of Network Investigational Technology, Hunan Police AcademyCurrently, the main challenges of the frameworks for healthcare monitoring are as follows: minimising latency, especially for delay-sensitive diseases such as sudden heart disease; identifying health situation in a timely and accurate manner when correlating physiological indicators and context information; reducing the risk of exposure because health data are highly private. In response to the above, this paper proposes a framework for 5G-secure-smart healthcare monitoring (5GSS) to achieve the following goals: fast and accurate identification of context-aware health situation, blockchain-based secure data sharing, and low-latency services for emergent patients. The framework consists of a data acquisition layer, a diagnosis and security layer (edge cloud), and a health service layer. The proposed framework adopts the following key technologies: a 5G-IPv6 communication network, context-aware health situation identification-based similarity measure, and blockchain-based secure data sharing mechanism. Finally, a prototype system has been implemented to monitor hypertensive heart disease, confirming its effectiveness with respect to a real scenario. Combined with the data of 45 patients, the prototype system can identify health situations with an accuracy of 96.34% at a sensitivity of 92.46% and a specificity of 93.62%, while significantly reducing the latency and improving the data sharing security.http://dx.doi.org/10.1080/09540091.2021.1977243context-aware health situation identificationedge cloud5ghealthcare monitoring |
| spellingShingle | Jianqiang Hu Wei Liang Osama Hosam Meng-Yen Hsieh Xin Su 5GSS: a framework for 5G-secure-smart healthcare monitoring Connection Science context-aware health situation identification edge cloud 5g healthcare monitoring |
| title | 5GSS: a framework for 5G-secure-smart healthcare monitoring |
| title_full | 5GSS: a framework for 5G-secure-smart healthcare monitoring |
| title_fullStr | 5GSS: a framework for 5G-secure-smart healthcare monitoring |
| title_full_unstemmed | 5GSS: a framework for 5G-secure-smart healthcare monitoring |
| title_short | 5GSS: a framework for 5G-secure-smart healthcare monitoring |
| title_sort | 5gss a framework for 5g secure smart healthcare monitoring |
| topic | context-aware health situation identification edge cloud 5g healthcare monitoring |
| url | http://dx.doi.org/10.1080/09540091.2021.1977243 |
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