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Privacy-preserving contact tracing in 5G-integrated and blockchain-based medical applications
The current pandemic situation due to COVID-19 is seriously affecting our daily work and life. To block the propagation of infectious diseases, an effective contact tracing mechanism needs to be implemented. Unfortunately, existing schemes have severe privacy issues that jeopardize the identity-priv...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7871810/ https://www.ncbi.nlm.nih.gov/pubmed/33584007 http://dx.doi.org/10.1016/j.csi.2021.103520 |
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author | Zhang, Can Xu, Chang Sharif, Kashif Zhu, Liehuang |
author_facet | Zhang, Can Xu, Chang Sharif, Kashif Zhu, Liehuang |
author_sort | Zhang, Can |
collection | PubMed |
description | The current pandemic situation due to COVID-19 is seriously affecting our daily work and life. To block the propagation of infectious diseases, an effective contact tracing mechanism needs to be implemented. Unfortunately, existing schemes have severe privacy issues that jeopardize the identity-privacy and location-privacy for both users and patients. Although some privacy-preserving systems have been proposed, there remain several issues caused by centralization. To mitigate this issues, we propose a Privacy-preserving contact Tracing scheme in 5G-integrated and Blockchain-based Medical applications, named PTBM. In PTBM, the 5G-integrated network is leveraged as the underlying infrastructure where everyone can perform location checking with his mobile phones or even wearable devices connected to 5G network to find whether they have been in possible contact with a diagnosed patient without violating their privacy. A trusted medical center can effectively trace the patients and their corresponding close contacts. Thorough security and performance analysis show that the proposed PTBM scheme achieves privacy protection, traceability, reliability, and authentication, with high computation & communication efficiency and low latency. |
format | Online Article Text |
id | pubmed-7871810 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78718102021-02-10 Privacy-preserving contact tracing in 5G-integrated and blockchain-based medical applications Zhang, Can Xu, Chang Sharif, Kashif Zhu, Liehuang Comput Stand Interfaces Article The current pandemic situation due to COVID-19 is seriously affecting our daily work and life. To block the propagation of infectious diseases, an effective contact tracing mechanism needs to be implemented. Unfortunately, existing schemes have severe privacy issues that jeopardize the identity-privacy and location-privacy for both users and patients. Although some privacy-preserving systems have been proposed, there remain several issues caused by centralization. To mitigate this issues, we propose a Privacy-preserving contact Tracing scheme in 5G-integrated and Blockchain-based Medical applications, named PTBM. In PTBM, the 5G-integrated network is leveraged as the underlying infrastructure where everyone can perform location checking with his mobile phones or even wearable devices connected to 5G network to find whether they have been in possible contact with a diagnosed patient without violating their privacy. A trusted medical center can effectively trace the patients and their corresponding close contacts. Thorough security and performance analysis show that the proposed PTBM scheme achieves privacy protection, traceability, reliability, and authentication, with high computation & communication efficiency and low latency. Elsevier B.V. 2021-08 2021-02-09 /pmc/articles/PMC7871810/ /pubmed/33584007 http://dx.doi.org/10.1016/j.csi.2021.103520 Text en © 2021 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Zhang, Can Xu, Chang Sharif, Kashif Zhu, Liehuang Privacy-preserving contact tracing in 5G-integrated and blockchain-based medical applications |
title | Privacy-preserving contact tracing in 5G-integrated and blockchain-based medical applications |
title_full | Privacy-preserving contact tracing in 5G-integrated and blockchain-based medical applications |
title_fullStr | Privacy-preserving contact tracing in 5G-integrated and blockchain-based medical applications |
title_full_unstemmed | Privacy-preserving contact tracing in 5G-integrated and blockchain-based medical applications |
title_short | Privacy-preserving contact tracing in 5G-integrated and blockchain-based medical applications |
title_sort | privacy-preserving contact tracing in 5g-integrated and blockchain-based medical applications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7871810/ https://www.ncbi.nlm.nih.gov/pubmed/33584007 http://dx.doi.org/10.1016/j.csi.2021.103520 |
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