论文标题
在分散环境中查询具有隐私汇总的环境
Towards Querying in Decentralized Environments with Privacy-Preserving Aggregation
论文作者
论文摘要
网络是一个无处不在的经济，教育和协作空间。但是，它也是个人信息收集的避风港。现有的基于Web的生态系统（例如Solid）旨在通过使个人能够在自己选择的个人数据存储中管理其数据来打击网络上的个人数据开发。由于这些分散的生态系统中的个人数据分布在许多来源之间，因此需要技术来支持个人数据存储上有效保存隐私的查询执行。为此，在这个职位上，我们提出了一个有效保留联合查询的隐私的框架，并强调了开放的研究挑战和机遇。总体目标是提供一种将未来研究定位到分散环境中保护隐私查询中的手段。
The Web is a ubiquitous economic, educational, and collaborative space. However, it also serves as a haven for personal information harvesting. Existing decentralised Web-based ecosystems, such as Solid, aim to combat personal data exploitation on the Web by enabling individuals to manage their data in the personal data store of their choice. Since personal data in these decentralised ecosystems are distributed across many sources, there is a need for techniques to support efficient privacy-preserving query execution over personal data stores. Towards this end, in this position paper we present a framework for efficient privacy preserving federated querying, and highlight open research challenges and opportunities. The overarching goal being to provide a means to position future research into privacy-preserving querying within decentralised environments.
