CAREER: Privacy-Preserving Sharing of Genomic Databases

职业：基因组数据库的隐私保护共享

基本信息

批准号：
2141622
负责人：
Erman Ayday
金额：
$ 50万
依托单位：
Case Western Reserve University
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2022
资助国家：
美国
起止时间：
2022-07-15 至 2027-06-30
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2141622&HistoricalAwards=false
关键词：
CAREER Privacy Preserving Sharing Genomic

项目摘要

Substantial progress has been achieved towards reducing the cost of DNA sequencing, resulting in generation and availability of large amounts of genomic data. Public availability of this data and sharing of genomic databases between institutions are vital to paving the way towards personalized medicine. However, there are significant risks in sharing genomic data, which carries a lot of sensitive information about its owner, such as his/her disease predispositions (e.g., for Alzheimer's), ancestry, and physical attributes. This threat to genomic privacy is magnified by the fact that a person's genome is correlated to his/her family members' genomes, thus leading to interdependent privacy risks. In this project, the main research objective is to develop privacy-preserving techniques for sharing genomic databases (and statistics about genomic databases) under diverse settings that include the following: (i) when a database owner (researcher) shares statistics about its database; (ii) when a database owner shares its entire database (e.g., after data use agreements) with a client; and (iii) when database owners outsource the storage and processing of their databases to a third-party cloud server. The project will also address important and challenging issues, such as, verification of shared statistics by a client, liability of shared databases in case of their unauthorized sharing, and maximizing the utility of shared data. For all developed techniques, the project team will evaluate/quantify privacy using state-of-the-art genomic privacy quantification algorithms.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

为了降低DNA测序的成本，已经取得了重大进展，从而导致了大量基因组数据的生成和可用性。这些数据的公众可用性以及机构之间基因组数据库的共享对于铺平个性化医学的道路至关重要。但是，共享基因组数据有很大的风险，该数据具有有关其所有者的许多敏感信息，例如他/她的疾病倾向（例如，对于阿尔茨海默氏症），血统和身体属性。由于一个人的基因组与他/她的家人的基因组相关，因此导致相互依存的隐私风险，因此对基因组隐私的这种威胁进行了放大。在该项目中，主要的研究目标是开发保存隐私技术，以共享基因组数据库（以及有关基因组数据库的统计数据），包括以下各种设置：（i）数据库所有者（研究人员（研究人员）共享有关其数据库的统计数据；（ii）当数据库所有者与客户端共享其整个数据库（例如，在数据使用协议之后）时；（iii）当数据库所有者将数据库的存储和处理外包给第三方云服务器时。该项目还将解决重要且具有挑战性的问题，例如客户对共享统计信息的验证，在未经授权共享的情况下，共享数据库的责任以及最大化共享数据的实用性。对于所有已发达的技术，项目团队将使用最先进的基因组隐私量化算法评估/量化隐私。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子评估来获得支持的，并具有更广泛的影响。

项目成果

期刊论文数量（14）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Towards Robust Fingerprinting of Relational Databases by Mitigating Correlation Attacks

DOI：
10.1109/tdsc.2022.3191117
发表时间：
2023-07
期刊：
IEEE Transactions on Dependable and Secure Computing
影响因子：
7.3
作者：
Tianxi Ji;Erman Ayday;Emre Yilmaz;Pan Li
通讯作者：
Tianxi Ji;Erman Ayday;Emre Yilmaz;Pan Li

Ensuring Trust in Genomics Research

DOI：
10.1109/tps-isa58951.2023.00011
发表时间：
2023-11
期刊：
2023 5th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA)
影响因子：
0
作者：
Erman Ayday;Jaideep Vaidya;Xiaoqian Jiang;Amalio Telenti
通讯作者：
Erman Ayday;Jaideep Vaidya;Xiaoqian Jiang;Amalio Telenti

A Privacy-Preserving Framework for Conducting Genome-Wide Association Studies Over Outsourced Patient Data