Effective and efficient protection of personal privacy in big personal data

随着个人数据越来越多地托管在云服务器中，积累成大量个人数据，个人隐私保护变得越来越重要。该项目旨在开发有效和高效的创新解决方案，以解决保护个人隐私的问题。目前的方法既不有效也不高效，而且缺乏稳健性。该项目有望增强大数据和云环境下个人隐私保护的理论基础，并提供有效和高效的个人隐私保护框架和相关算法和原型。这些结果将有助于保护云服务器上快速增长的隐私、敏感个人数据托管和应用程序。

Personal privacy protection is becoming increasingly important as personal data is increasingly being hosted in cloud servers, accumulating as big personal data. This project aims to develop innovative solutions for effective and efficient to address the issue of protection of personal privacy. Current approaches are neither effective nor efficient, and lack robustness. The project is expected to enhance theoretical foundation of personal privacy protection in big data and cloud, and deliver an effective and efficient personal privacy protection framework with associated algorithms and prototype. These outcomes will help to protect fast-growing privacy sensitive personal data hosting and applications on cloud servers.