CICI: Secure and Resilient Architecture: Campus Infrastructure for Microscale, Privacy-Conscious, Data-Driven Planning

如今，个人通过使用手机、可穿戴设备和在线服务，在日常活动中产生了海量数据。这些小数据被称为微尺度数据。微观数据的可获得性为在机构一级解决各种复杂的规划问题创造了新的机会，但它也引起了对收集数据的个人的安全和隐私的担忧。这些对隐私的担忧威胁到了实现微规模数据有益用途的能力。这个项目开发和评估了一个架构，允许个人监控和管理他们的微型数据的共享，以最大化个人和机构的效用。这个项目开发了一个软件框架，以支持实施数据驱动的规划应用程序，其中个人可以对其数据的使用进行细粒度的控制。该项目的工作重点是：(I)创建一个能够从无线接入点、读卡器、房间传感器和销售点系统等来源获取微型数据流的校园试验台；(Ii)建立一个数据管理平台，为对微型数据的查询和转换施加基于使用的限制提供灵活的控制；(Iii)开发使用微型数据来解决与校园环境中的交通、空间和食物相关的实际规划问题的应用程序。拥有一个开源平台来解决微规模数据的基本安全和隐私挑战，可能会对真正的应用程序和行业产生巨大影响。在这笔资金的支持下，调查人员还将开发关于微型数据驱动规划的大师级项目，为下一代工程师提供一个新兴跨学科领域的培训。

Individuals today generate an immense amount of data as a byproduct of their daily activities through use of mobile phones, wearable devices, and online services. These small bits of data are called microscale data. The availability of microscale data creates new opportunities for solving a variety of complex planning problems at the institutional level, but it also raises concerns about security and privacy for the individual whose data is collected. The ability to realize the beneficial uses of microscale data is threatened by these concerns over privacy. This project develops and evaluates an architecture that allows individuals to monitor and manage sharing of their microscale data in order to maximize individual and institutional utility.This project develops a software framework to support the implementation of data-driven planning applications where individuals have fine-grained control over use of their data. Work on the project focuses on: (i) creating a campus testbed capable of acquiring microscale data streams from sources such as wireless access points, card readers, room sensors, and point-of-sale systems; (ii) building a data management platform that offers flexible controls for imposing use-based restrictions on queries and transformations of microscale data; (iii) developing applications that use microscale data to solve practical planning problems related to transportation, space, and food in a campus setting. Having an open-source platform that addresses fundamental security and privacy challenges for microscale data has the potential for large impact on real applications and industry. Under the auspices of this funding, the investigators will also develop masters-level projects on microscale data-driven planning, providing the next generation of engineers with training in an emerging interdisciplinary area.