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KSI based Sensitive Data Integrity Validation Method for Precision Medicine System
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Publication Year
2019-03-18
Journal
2019 International Conference on Platform Technology and Service, PlatCon 2019 - Proceedings
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
2019 International Conference on Platform Technology and Service, PlatCon 2019 - Proceedings
Keyword
Cloud-based Precision Medicine CenterData ValidationKeyless Signatures InfrastructureMedical SecurityPrecision Medicine System
Mesh Keyword
Cloud-basedData validationKeyless Signatures InfrastructureMedical securityPrecision Medicine System
All Science Classification Codes (ASJC)
Human-Computer InteractionInformation SystemsSoftwareComputer Networks and Communications
Abstract
Interest in precision medicine in the medical field is increasing through the United States 'Precision Medicine Initiative' announced in 2015. Accordingly, a method for secure and efficient provide of precision medicine services has been continuously studied. Recently, a survey by consulting company shows the importance of verification the integrity of data in decision making is increasing in the analysis of sensitive data of big data size that a key component of precision medicine. Therefore, in this paper, we study integrity validation method of sensitive data by applying signature technology called KSI in precision medicine system.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36467
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85063886563&origin=inward
DOI
https://doi.org/10.1109/platcon.2019.8668964
Journal URL
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8668543
Type
Conference
Funding
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. NRF-2017R1E1A1A01075110).In the future, we intend to verify the security and efficiency of the proposed method through really PKI and KSI implementation after collecting data on precision medicine components ACKNOWLEDGMENT This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. NRF-2017R1E1A1A01075110).
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