Security and Privacy of Individual Data Used to Extract Public Information

该项目旨在促进技术的发展，以便在不损害个人隐私的情况下获取有用的信息。对个人数据的智能分析可以揭示一个群体的宝贵知识，但有侵犯个人隐私的风险。该项目旨在为与保护私人数据相关的一些问题提供至少部分解决方案。特别是，它计划致力于统计数据库的安全和流动数据的隐私问题。这将得到匿名化和同态加密研究的支持。预期的结果是新的理论结果、新的算法和协议，至少适用于当前信息安全中的一些重大问题。

The project aims to contribute to the development of techniques to allow the harvesting of useful information without compromising personal privacy. Intelligent analysis of personal data can reveal valuable knowledge about a population but at a risk of invading an individual's privacy. This project aims to provide at least partial solutions to some of the problems associated with the protection of private data. In particular, it plans to work on the problem of security of statistical databases and privacy of streaming data. This would be underpinned by a study of anonymisation and homomorphic encryption. The expected outcomes are new theoretical results, new algorithms and protocols applicable to at least some of the current significant problems in information security.