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SQUiD:用于推进精准医学的基因数据的超安全存储和分析

Jacob Blindenbach^1,2,3, Jiayi Kang⁴, Seungwan Hong^5,6

¹Department of Computer Science, Columbia University, New York, USA.

|December 19, 2024

概括

我们开发了SQUiD,这是云中的基因型-表型数据的安全数据库. 它使用同型加密来保护敏感信息,确保精准医学研究的隐私.

科学领域:

生物信息学是一种生物信息学.
云计算云计算云计算云计算
数据安全数据安全

背景情况:

基因型-表型数据集正在快速增长,对于推进精准医学至关重要.
在云中存储敏感的健康数据会带来重大隐私和安全挑战.
现有的解决方案可能无法充分解决多客户端安全数据分析的复杂性.

研究的目的:

开发一个安全和可查询的基因型-表型数据数据库系统.
在公共云环境中实现安全的数据存储和分析.
确保数据隐私和遵守准确医学法规.

主要方法:

开发SQUiD (安全可查询数据库),一个新的数据库系统.
在多客户端环境中实现同态加密,用于安全处理数据.
利用公共云基础设施进行低成本,可扩展的数据存储和分析.

主要成果:

SQUiD可以安全存储和查询基因型-表型数据.
使用合成和英国生物库数据证明了实际的可用性和可扩展性.
同型加密有效地保护了在公共云中分析期间的敏感数据.

结论:

在云中,SQUiD为安全的基因型-表型数据管理提供了可行的解决方案.
该系统增强了精准医学倡议的数据隐私.
基于云的安全数据库对于基因组数据分析的未来至关重要.

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