Discussion and Analysis on the Privacy Protection in the Age of Big Data in Healthcare

Author:

WANG Shuang

School of Informatics, Department of Computing and Engineering, Indiana University, Bloomington, IN, USA, 47408
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摘要:

以基因數(shù)據(jù)為例，全面分析健康大數(shù)據(jù)隱私面臨的挑戰(zhàn)，從聯(lián)盟數(shù)據(jù)分析、同態(tài)加密、硬件加密、差分隱私幾方面探討隱私數(shù)據(jù)保護(hù)策略，闡述有關(guān)數(shù)據(jù)安全和隱私保護(hù)法律建設(shè)，以期為相關(guān)研究提供參考。

Abstract:

The paper, by taking genetic data as an example, conducts a comprehensive analysis on the challenges confronting the privacy of healthcare big data, discusses the protection strategies of private data from such aspects of analysis on alliance data, homomorphic encryption, hardware encryption and differential privacy. It also elaborates on the building of laws related to data security and privacy protection, and provides references for relevant study.

王爽,尹聰穎.健康醫(yī)療大數(shù)據(jù)時代的隱私保護(hù)探析[J].醫(yī)學(xué)信息學(xué)雜志,2019,40(1):2-5

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