4.6 Article

Privacy-preserving contact tracing in 5G-integrated and blockchain-based medical applications

期刊

COMPUTER STANDARDS & INTERFACES
卷 77, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.csi.2021.103520

关键词

5G; Blockchain; Contact tracing; Medical applications; Privacy protection

资金

  1. National Natural Science Foundation of China [61972037, 61402037, 61872041, U1836212]

向作者/读者索取更多资源

The current COVID-19 pandemic situation is seriously affecting daily work and life, calling for an effective contact tracing mechanism. To address privacy concerns, a Privacy-preserving contact Tracing scheme called PTBM utilizing 5G-integrated network and Blockchain-based Medical applications has been proposed, ensuring privacy protection, traceability, reliability, and authentication with high efficiency and low latency.
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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据