A provable privacy-preserving data sharing system for the cloud environment

一种可证明的云环境隐私保护数据共享系统

• 批准号: LP170100123
• 负责人: Prof Wanlei Zhou
• 金额: $ 21万
• 依托单位: University of Technology Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2018
• 资助国家: 澳大利亚
• 起止时间: 2018-01-01 至 2021-06-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP170100123
• 关键词: provable; privacy; preserving; data; sharing

This project aims to develop an innovative data sharing system, with a mathematically provable privacy guarantee, in a cloud environment. This will be adopted by Australian Education Management Group’s (AEMG) cloud campus to exchange data in a restricted privacy manner between partner institutions. It will be commercialised as a middleware that can be plugged into existing cloud environments to maintain required privacy even when the cloud crosses various jurisdictions with different privacy policies. The outcomes will benefit educational organisations, and lay the foundations for data sharing in other communities such as the government, banks, and other industries in Australia.

该项目旨在开发一个创新的数据共享系统，在云环境中具有数学上可证明的隐私保证。澳大利亚教育管理集团（AEMG）的云校园将采用这种方式，以有限的隐私方式在合作机构之间交换数据。它将被商业化为一个中间件，可以插入现有的云环境中，即使云跨越不同的司法管辖区，使用不同的隐私政策，也可以保持所需的隐私。研究结果将使教育机构受益，并为澳大利亚政府、银行和其他行业等其他社区的数据共享奠定基础。