Collaborative Research: CNS Core: Medium: The Privacy Backplane - A Full Stack Approach to Individualized Privacy Controls Throughout the Internet-of-Things

合作研究：CNS 核心：媒介：隐私背板 - 整个物联网个性化隐私控制的全栈方法

• 批准号: 2211508
• 负责人: Peter Dinda
• 金额: $ 39万
• 依托单位: Northwestern University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2211508&HistoricalAwards=false
• 关键词: Collaborative; Research; CNS; Core; Medium

The goal of this project is to develop technologies that put individuals in control of their privacy policies and data in a sensor-rich world, but enable applications that consume these data to operate within these constraints. In particular, this project focuses on future environments, such as retail contexts, healthcare facilities, and even public spaces, where the data collection and privacy interests of different actors clearly need to be resolved. This project will study and develop the concepts and infrastructure necessary to support enforcement of user requirements for privacy and data access within large-scale sensing environments in a secure and trusted way that ensures policy and functionality requirements are achieved. The foundation of the project will be an architecture for a “Privacy Backplane,” a trusted distributed system designed to enforce user-defined privacy policies that allow users to dictate how data collected about them are used, while simultaneously executing the elements of applications that need access to these data. This project will instill privacy protection throughout every component of a physical environment from sensors themselves, through the (wireless) network and edge, all the way to data storage and processing systems in the cloud. The project explicitly considers the efficiency implications of privacy policy enforcement for low-power Internet-of-Things devices. Finally, this project will leverage recent advances in secure hardware architectures to implement a trustworthy system efficiently. The right to privacy and control over one’s personal information is a core issue of our time and developing effective mechanisms to protect personal privacy is now a priority in many societies; it has been identified as a strategic priority by the U.S. government. As ever cheaper sensors deliver rapidly increasing surveillance capabilities, many organizations, companies, and governmental institutions are deploying advanced surveillance and monitoring environments with few constraints. At the same time, distributed physical sensor infrastructures enable important new applications that may bring individual and social benefits. However, the constant collection of personal data by largely anonymous companies and governmental entities has caused a significant amount of concern among the general populace. This project seeks to develop a path towards leveling the playing field that will allow users to exert more direct control over who may collect, access, and store data on them, as well as the ways these data are used. Additionally, the project will seek to increase the level of transparency for data collection and use.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目的目标是开发技术，使个人能够在传感器丰富的世界中控制自己的隐私政策和数据，同时使使用这些数据的应用程序能够在这些限制内运行。特别是，该项目侧重于未来的环境，例如零售环境、医疗保健设施，甚至公共场所，显然需要解决不同参与者的数据收集和隐私利益，该项目将研究和开发支持执行用户隐私和数据要求所需的概念和基础设施。以安全可信的方式在大规模传感环境中进行访问，确保策略该项目的基础将是“隐私背板”的架构，这是一个可信的分布式系统，旨在执行用户定义的隐私策略，允许用户决定如何使用收集到的有关他们的数据，同时执行该项目将在物理环境的每个组件中注入隐私保护，从传感器本身，通过（无线）网络和边缘，一直到云中的数据存储和处理系统。该项目明确考虑了隐私政策执行对效率的影响最后，该项目将利用安全硬件架构的最新进展来有效地实现可信赖的系统。隐私权和个人信息的控制权是我们这个时代的核心问题，并正在开发有效的机制。保护个人隐私现在已成为许多社会的首要任务；美国政府已将其确定为战略重点。随着越来越便宜的传感器提供快速增强的监视能力，许多组织、公司和政府机构正在部署先进的监视和监控环境。几乎没有限制。随着时间的推移，分布式物理传感器基础设施实现了可能带来个人和社会利益的重要新应用，但是，大部分匿名公司和政府实体不断收集个人数据引起了广大民众的极大关注。一条通往公平竞争环境的道路，使用户能够更直接地控制谁可以收集、访问和存储数据，以及这些数据的使用方式。此外，该项目将寻求提高水平。数据收集和使用的透明度。该奖项反映了通过使用基金会的智力价值和更广泛的影响审查标准进行评估，NSF 的法定使命被认为值得支持。