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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: email.

Computers, Materials & Continua 2020, 64(3), 1527-1553.


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.


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.


cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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