An infrastructure framework for privacy protection of community medical internet of things - transmission protection, storage protection and access control
Article
Article Title | An infrastructure framework for privacy protection of community medical internet of things - transmission protection, storage protection and access control |
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ERA Journal ID | 32110 |
Article Category | Article |
Authors | Chen, Fulong (Author), Luo, Yonglong (Author), Zhang, Ji (Author), Zhu, Junru (Author), Zhang, Ziyang (Author), Zhao, Chuanxin (Author) and Wang, Taochun (Author) |
Journal Title | World Wide Web |
Journal Citation | 21 (1), pp. 33-57 |
Number of Pages | 25 |
Year | 2018 |
Publisher | Springer |
Place of Publication | New York, United States |
ISSN | 1386-145X |
1573-1413 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s11280-017-0455-z |
Web Address (URL) | https://link.springer.com/article/10.1007%2Fs11280-017-0455-z |
Abstract | As a kind of medical service around people, community health care is closely related to peoples lives, and thus it has also been placed higher requirements. In the face of growing community medical needs, the construction and development of community medical Internet of things is imminent. Subsequently, massive multi-type of medical data which contain all kinds of user identity data, various types of vital signs data and other sensitive information are generated. Such a large scale of data in the transmission, storage and access process is facing the risk of data leakage. To effectively protect the privacy information of patients, an infrastructure framework for privacy protection of community medical Internet of things is proposed. It includes transmission protection based on multi-path asymmetric encryption fragment transmission mechanism, storage protection using distributed symmetric encryption cloud storage scheme and access control with identity authentication and dynamic access authorization. Through theoretical analysis and simulation experiments, it is proved that the community medical data can be effectively protected. |
Keywords | internet of things; privacy protection; encryption; health care; authenentication |
ANZSRC Field of Research 2020 | 460609. Networking and communications |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Anhui Normal University, China |
Faculty of Health, Engineering and Sciences | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q52vw/an-infrastructure-framework-for-privacy-protection-of-community-medical-internet-of-things-transmission-protection-storage-protection-and-access-control
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