BigPrivacy: Scaling privacy preservation for big data applications on cloud

BigPrivacy：扩展云上大数据应用程序的隐私保护

• 批准号: DP170100136
• 负责人: Prof Jinjun Chen
• 金额: $ 28.03万
• 依托单位: Swinburne University of Technology
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2017
• 资助国家: 澳大利亚
• 起止时间: 2017-09-30 至 2022-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP170100136
• 关键词: BigPrivacy; Scaling; privacy; preservation; big

This project aims to research scalable privacy preservation for big data applications on cloud. Privacy preservation is a major concern for big data applications on cloud, such as health data analysis where user privacy must be preserved. Scalable solutions can preserve privacy so that data analysis such as health diagnosis can be performed quickly. The expected deliverable is a unified scalable privacy preservation framework with associated algorithms and its prototype, which cloud systems can deploy for big data applications.

该项目旨在研究云上大数据应用的可扩展隐私保护。隐私保护是云上大数据应用的主要关注点，例如必须保护用户隐私的健康数据分析。可扩展的解决方案可以保护隐私，以便快速执行健康诊断等数据分析。预期的交付成果是一个统一的可扩展的隐私保护框架，具有相关的算法及其原型，云系统可以为大数据应用程序部署。