@Article{cmc.2020.010535,
AUTHOR = {Deukhun Kim, Heejin Kim, Jin Kwak},
TITLE = {Secure Sharing Scheme of Sensitive Data in the Precision  Medicine System},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {64},
YEAR = {2020},
NUMBER = {3},
PAGES = {1527--1553},
URL = {http://www.techscience.com/cmc/v64n3/39443},
ISSN = {1546-2226},
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.},
DOI = {10.32604/cmc.2020.010535}
}