Privacy-preserving cloud data mining-as-a-service

保护隐私的云数据挖掘即服务

• 批准号: LP160101766
• 负责人: Prof Xun Yi
• 金额: $ 23.29万
• 依托单位: RMIT University
• 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: 2018-01-11 至 2021-05-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP160101766
• 关键词: Privacy; preserving; cloud; data; mining

This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research will include new data privacy models, new privacy-preserving data mining algorithms, and a prototype of cloud data mining software. These will help businesses cut costs for data mining and privacy protection, and provide significant benefits toward helping Australia achieve its national cyber security strategy and potentially provide economic impact from commercialisation of new software technology for the industry partner.

该项目旨在探索基于英特尔Software Guard Extensions（SGX）技术的云数据挖掘即服务的实用隐私保护解决方案。该研究解决了用户在将数据挖掘需求外包到云端时的隐私问题。由于缺乏专业知识或计算资源，越来越多的企业将数据挖掘作为外包服务进行评估，因此这些担忧有所增加。该研究的预期成果将包括新的数据隐私模型，新的隐私保护数据挖掘算法以及云数据挖掘软件的原型。这将帮助企业削减数据挖掘和隐私保护的成本，并为帮助澳大利亚实现其国家网络安全战略提供重大利益，并可能为行业合作伙伴提供新软件技术商业化的经济影响。