Secure Count Query on Encrypted Genomic Data: A Survey
Secure Count Query on Encrypted Genomic Data: A Survey
复制标题
加密基因组数据的安全计数查询：一项调查
DOI：
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发表时间：
2018
影响因子：
3.2
通讯作者：
N. Mohammed
中科院分区：
文献类型：
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作者：
M. Z. Hasan;Md Safiur Rahman Mahdi;N. Mohammed
为了促进大规模的生物医学研究项目，它需要在不同的组织之间共享收集的基因组和临床数据。由于数据量巨大，共享数据的存储和计算任务可以委托给配备有大量存储和计算资源的第三方云基础设施。但共享、管理和计算这些数据的整个过程应该以防止潜在的数据丢失、被盗或误用的方式进行，因为基因组数据本质上是非常敏感的。在本文中，我们概述了现有的安全解决方案，这些解决方案用于将基因组数据外包到云中，并对基因组数据执行最重要的操作之一：计数查询。
To facilitate large-scale biomedical research projects, it requires sharing genomic and clinical data collected by disparate organizations among themselves. Due to the enormous size of the data, the task of the storage and computation on the shared data can be delegated to third party cloud infrastructures, equipped with large storage and computation resources. But the whole process of sharing, managing, and computation on this data should be done in a way that prevents the potential loss, theft or misuse of the data as genomic data are very sensitive by nature. In this article, we provide an overview of the existing secure solutions for outsourcing genomic data to the cloud and executing one of the most important operations on the genomic data: count query.