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

CICI：安全和弹性架构：用于微型、隐私意识、数据驱动规划的园区基础设施

• 批准号: 1642120
• 负责人: John Foster
• 金额: $ 99.94万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1642120&HistoricalAwards=false
• 关键词: CICI; Secure; Resilient; Architecture; Campus

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.

当今的个人通过使用移动的电话、可穿戴设备和在线服务来生成大量数据作为其日常活动的副产品。这些小数据称为微尺度数据。微尺度数据的可用性为在机构层面解决各种复杂的规划问题创造了新的机会，但它也引起了对数据收集者个人安全和隐私的担忧。实现微尺度数据的有益使用的能力受到这些对隐私的担忧的威胁。该项目开发和评估一个架构，使个人能够监控和管理他们的微尺度数据的共享，以最大限度地提高个人和机构utility.This项目开发一个软件框架，以支持数据驱动的规划应用程序的实施，其中个人有细粒度的控制使用他们的数据。该项目的工作重点是：㈠建立一个校园试验台，能够从无线接入点、读卡器、室内传感器和销售点系统等来源获取微尺度数据流; ㈡建立一个数据管理平台，提供灵活的控制，对微尺度数据的查询和转换施加基于使用的限制;（iii）开发应用程序，利用微尺度数据解决与校园环境中的交通、空间和食物有关的实际规划问题。拥有一个开源平台来解决微观数据的基本安全和隐私挑战，有可能对真实的应用程序和行业产生重大影响。在这笔资金的支持下，研究人员还将开发关于微观数据驱动规划的硕士级项目，为下一代工程师提供新兴跨学科领域的培训。

项目成果

Ancile: Enhancing Privacy for Ubiquitous Computing with Use-Based Privacy

• DOI: 10.1145/3338498.3358642
• 发表时间: 2019-11
• 期刊: Proceedings of the 18th ACM Workshop on Privacy in the Electronic Society
• 作者: Eugene Bagdasaryan;Griffin Berlstein;J. Waterman;Eleanor Birrell;Nate Foster;F. Schneider;D. Estrin