CC* Data: ImPACT - Infrastructure for Privacy-Assured compuTations

CC* 数据：ImPACT - 隐私保护计算基础设施

• 批准号: 1659367
• 负责人: Ilya Baldin
• 金额: $ 298.33万
• 依托单位: University of North Carolina at Chapel Hill
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-05-01 至 2022-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1659367&HistoricalAwards=false
• 关键词: CC; Data; ImPACT; Infrastructure; Privacy

This project addresses one of the fundamental problems in distributed computing: the ability to compute on sensitive or private data in a secure manner. This is critically important for multi-institution and cross-disciplinary sharing and analysis of data, particularly in health-related fields and the social sciences. This project builds upon and enhances several cyberinfrastructure elements which have been developed through other NSF awards and are already part of the existing research base. By developing methods for securely sharing private data in different collaborative settings, ImPACT (Infrastructure for Privacy-Assured CompuTations) lowers the barriers to using privacy-restricted data in scientific collaborations. It reduces the time to discovery and opens new avenues for research.ImPACT enables a variety of research scenarios that require integration of data across subdomains where relevant data sets are held by different stakeholders. The goal of ImPACT is to enable cooperative processing across the stakeholder-owned datasets, while respecting the privacy policies of the individual owners, and to provide a model for collaboration that could be readily used by other institutions. The project brings together a team that includes social science researchers, cyber-infrastructure experts, and distributed systems and security experts from the University of North Carolina, Duke University, and Indiana University. A non-profit organization formed by the city of Durham, NC provides some of the data sets that are used in the project. To enable end-to-end data flows, ImPACT builds upon prior investments by the NSF Campus Cyberinfrastructure program at the Duke and UNC campuses, as well as the Global Environment for Network Innovations (GENI) program to support straightforward transfers of data within the respective virtual infrastructures. By supporting three different trust models between collaborators, the project develops diverse methodologies with best practices in networking, data management, security, and privacy preservation to accommodate a variety of collaborative scenarios. Data access, sharing, processing, and publishing are integrated into privacy-aware systems that allow scientists to use their own tools and that build upon enabling cyberinfrastructure technologies like Dataverse, CyVerse, and the Open Resource Control Architecture (ORCA) control software.

该项目解决了分布式计算中的基本问题之一：以安全的方式计算敏感或私人数据的能力。 这对于数据和跨学科共享和数据分析至关重要，尤其是在与健康相关的领域和社会科学中。 该项目建立在并增强了通过其他NSF奖项开发的几个网络基础设施要素，并且已经成为现有研究基础的一部分。 通过开发用于在不同协作设置中安全共享私人数据的方法，影响（用于隐私鉴定的计算的基础架构）降低了在科学协作中使用隐私限制数据的障碍。它减少了发现的时间，并为研究开放了新的途径。影响了各种研究方案，这些方案需要在不同利益相关者持有相关数据集的子域中整合数据。影响的目的是在利益相关者拥有的数据集中实现合作处理，同时尊重个人所有者的隐私政策，并为其他机构提供可以轻松使用的合作模型。 该项目汇集了一个团队，其中包括社会科学研究人员，网络基础结构专家以及北卡罗来纳大学，杜克大学和印第安纳大学的分布式系统和安全专家。由北卡罗来纳州达勒姆市成立的非营利组织提供了项目中使用的一些数据集。为了启用端到端数据流，影响基于杜克大学和UNC校园的NSF校园Cyber​​infrastructure计划的先前投资以及全球网络创新环境（GENI）计划，以支持各自数据中的直接转移数据虚拟基础架构。 通过支持合作者之间的三个不同的信任模型，该项目通过在网络，数据管理，安全性和隐私保护方面提供最佳实践来开发各种方法，以适应各种协作方案。数据访问，共享，处理和发布被集成到隐私感知系统中，这些系统允许科学家使用自己的工具，并在启用Cyber​​infradstructure技术（如Dataverse，Cyverse和Open Resource Controlstection（Orca）控制软件）上进行。

项目成果

ImPACT: A networked service architecture for safe sharing of restricted data

ImPACT：用于安全共享受限数据的网络服务架构

• DOI: 10.1016/j.future.2021.11.026
• 发表时间: 2022
• 期刊: Future Generation Computer Systems
• 作者: Baldin, Ilya;Chase, Jeff;Crabtree, Jonathan;Nechyba, Thomas;Christopherson, Laura;Stealey, Michael;Kneifel, Charley;Orlikowski, Victor;Carter, Rob;Scott, Erik
• 通讯作者: Scott, Erik