数据服务中心的隐私保护框架设计与应用研究

Application research on privacy preservation for data service platform

针对北京大学数据服务中心在为全校提供数据共享和数据再利用服务的同时,也存在很多信息和隐私安全方面的问题,分析了数据服务中心的隐私安全问题,设计了数据服务中心的隐私保护框架(DSP-PPF),并且基于这个框架在隐私数据的分类方法、隐私数据的访问控制和面向数据发布的隐私保护三个方面展开应用研究.通过应用所提技术进行隐私数据组织和管理,结果表明数据既能得到合理的保护,又能最大程度地发挥效用.

There are a lot of challenges during the data sharing and data re-utilizing process in term of data security and privacy protecting.By studying the security risk of the privacy data which owned by data service platform,a data service platform-privacy preserving framework(DSP-PPF)privacy preserving framework was designed.And based on this frame,more research was also focus on the application level from these three areas,which were data category methodology,access control of the privacy data,and protection of the privacy data publishing.Therefore,the data could be maximized used while being protected effectively as well by applying those technologies.