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

该项目正在开发新的基础加密技术，用于外包数据及其计算，充分保护数据隐私。重点是涉及多个用户的真实世界设置，其中需要对所有其他用户提供隐私，以及来自服务提供商的隐私。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独立于用户总数。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，然后在不受提供商和其他用户影响的情况下访问数据，同时尽可能接近上述效率要求。这不仅允许访问，还允许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者之间的通信。该项目开发了保护数据隐私的加密技术，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。研究者致力于研究成果的传播和对学生的教育。

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.