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

该项目旨在探索基于英特尔软件保护扩展(SGX)技术的云数据挖掘即服务的实用隐私保护解决方案。这项研究解决了将数据挖掘需求外包到云中时用户对隐私的担忧。随着越来越多的企业因缺乏专业知识或计算资源而将数据挖掘作为一种外包服务进行评估，这些担忧有所增加。这项研究的预期结果将包括新的数据隐私模型、新的保护隐私的数据挖掘算法，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好处，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。

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.