TWC: Small: Collaborative: Computation and Access Control on Big Multiuser Data

TWC：小型：协作：多用户大数据的计算和访问控制

• 批准号: 1633282
• 负责人: Mariana Raykova
• 金额: $ 14.42万
• 依托单位: Yale University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-01-01 至 2017-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1633282&HistoricalAwards=false
• 关键词: TWC; Small; Collaborative; Computation; Access

This project is developing new foundational cryptographic techniques for outsourcing data and computations on it, which fully preserve data privacy. The focus is on real-world settings involving multiple users where privacy with respect to all other users is required, as well as privacy from the service provider. The project will aim to minimize the interaction between users in the system, making the computational complexity for each client independent of the total number of users. The investigators are developing protocols that allow many users to outsource their data to a cloud provider and later access it obliviously with respect to both the provider and other users while achieving as closely as possible the above efficiency requirements. This enables not only access but also computation over the outsourced data using a more efficient computational model called random access machines. These techniques aim to minimize the work performed by the users as well as the communication between users and the service provider. The project develops cryptographic techniques that protect data privacy while enabling its use in cloud computing. Resolving these issues is of increasing importance due to the explosion of data produced by people and machines. The investigators are committed to the dissemination of research results and education of students in this area.

该项目正在开发新的基础加密技术，用于外包数据和计算，从而充分保护数据隐私。重点是涉及多个用户的真实世界设置，其中需要所有其他用户的隐私以及服务提供商的隐私。该项目旨在最大限度地减少系统中用户之间的交互，使每个客户端的计算复杂性与用户总数无关。调查人员正在开发协议，允许许多用户将其数据外包给云提供商，然后在尽可能接近上述效率要求的同时，对提供商和其他用户进行无障碍访问。这不仅可以访问，而且可以使用称为随机访问机的更有效的计算模型对外包数据进行计算。这些技术旨在最大限度地减少用户执行的工作以及用户与服务提供商之间的通信。该项目开发加密技术，保护数据隐私，同时使其能够在云计算中使用。由于人和机器产生的数据爆炸式增长，解决这些问题变得越来越重要。研究人员致力于传播研究成果和教育学生在这一领域。