Security and Privacy of Individual Data Used to Extract Public Information

用于提取公共信息的个人数据的安全和隐私

• 批准号: DP160100913
• 负责人: Prof Xun Yi
• 金额: $ 30.48万
• 依托单位: RMIT University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2016
• 资助国家: 澳大利亚
• 起止时间: 2016-10-21 至 2020-10-20
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP160100913
• 关键词: Security; Privacy; Individual; Data; Used

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.

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收集有用的信息。对个人数据的智能分析可以揭示有关人口的有价值的知识，但有侵犯个人隐私的风险。该项目旨在为与保护私人数据有关的一些问题提供至少部分的解决办法。特别是，它计划处理统计数据库的安全和数据流的隐私问题。这将得到匿名化和同态加密研究的支持。预期的成果是新的理论成果，新的算法和协议适用于至少一些当前的重大问题，在信息安全。