TWC: Small: PERMIT: Privacy-Enabled Resource Management for IoT Networks

这个项目调查如何隐私可以用来通知未来的数据传感系统的设计和管理。收集个人数据的网络系统将在我们的生活中发挥越来越重要的作用，其应用包括工业监控、“智能”家庭/城市以及个性化医疗保健。这些系统将收集个人的私人信息，这带来了许多工程上的挑战。这项工作旨在理解这两者之间的相互作用：管理必须收集的大量数据和保护系统中个人的隐私。对于依赖于大量个人的应用程序或服务，减少传输的信息量可以在增强隐私的同时节省带宽。本工作的目的是利用数据隐私技术和无线资源管理技术的思想，共同管理无线传感系统中的隐私和带宽。该项目的技术目标涉及在无线网络设置的隐私约束下重新制定分布式数据收集和估计问题。差分隐私提供了一个框架，用于量化不同压缩和数据减少策略的隐私风险，从而导致隐私-带宽-质量的权衡。在系统层面，总的隐私风险是一种可以管理的资源；本项目利用这种洞察力来设计新颖的隐私分配方案。最终，该项目寻求在隐私和服务质量之间制定新的权衡，这可以推广到其他网络问题。为了了解这些方法在实践中是如何工作的，这项工作涉及到在无线网络测试台上对这些方法进行原型设计和测试。

This project investigates how privacy can be used to inform the design and management of future data sensing systems. Networked systems that collect data about individuals will play an increasingly important role in our lives, with applications including industrial monitoring and control, "smart" homes/cities, and personalized health care. These systems will gather private information about individuals, which creates many coupled engineering challenges. This work seeks to understand the interplay between two of these: managing the massive amounts of data that must be collected and protecting the privacy of individuals in the system. For applications or services that rely on populations of individuals, reducing the amount of information transmitted can save bandwith while enhancing privacy. The objectives of this work are to use ideas from data privacy technologies and wireless resource management techniques to jointly manage privacy and bandwidth in wireless sensing systems.The technical objectives of this project involve reformulating distributed data collection and estimation problems under privacy constraints in wireless network settings. Differential privacy gives a framework for quantifying the privacy risk of different strategies for compression and data reduction, leading to a privacy-bandwidth-quality tradeoff. At the system level, total privacy risk is a resource that can be managed; this project uses that insight to design novel privacy-allocation schemes. Ultimately, this project seeks to formulate new tradeoffs between privacy and quality-of-service that can generalize to other networking problems. To see how these approaches work in practice, this work involves prototyping and testing the methods in a wireless networking testbed.