Open Access
ARTICLE
Secure Sharing Scheme of Sensitive Data in the Precision Medicine System
Deukhun Kim1, Heejin Kim2, Jin Kwak3, *
1 ISAA Lab., Department of Computer Engineering, Ajou University, Suwon, 16499, Korea.
2 Korea Orphan & Essential Drug Center, Seoul, 04523, Korea.
3 Department of Cyber Security, Ajou University, Suwon, 16499, Korea.
* Corresponding Author: Jin Kwak. Email: .
Computers, Materials & Continua 2020, 64(3), 1527-1553. https://doi.org/10.32604/cmc.2020.010535
Received 09 March 2020; Accepted 02 May 2020; Issue published 30 June 2020
Abstract
Numerous industries, especially the medical industry, are likely to exhibit
significant developments in the future. Ever since the announcement of the precision
medicine initiative by the United States in 2015, interest in the field has considerably
increased. The techniques of precision medicine are employed to provide optimal treatment
and medical services to patients, in addition to the prevention and management of diseases
via the collection and analysis of big data related to their individual genetic characteristics,
occupation, living environment, and dietary habits. As this involves the accumulation and
utilization of sensitive information, such as patient history, DNA, and personal details, its
implementation is difficult if the data are inaccurate, exposed, or forged, and there is also a
concern for privacy, as massive amount of data are collected; hence, ensuring the security
of information is essential. Therefore, it is necessary to develop methods of securely
sharing sensitive data for the establishment of a precision medicine system. An
authentication and data sharing scheme is presented in this study on the basis of an analysis
of sensitive data. The proposed scheme securely shares sensitive data of each entity in the
precision medicine system according to its architecture and data flow.
Keywords
Cite This Article
D. Kim, H. Kim and J. Kwak, "Secure sharing scheme of sensitive data in the precision medicine system,"
Computers, Materials & Continua, vol. 64, no.3, pp. 1527–1553, 2020. https://doi.org/10.32604/cmc.2020.010535
Citations