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.

今天，个人通过使用手机，可穿戴设备和在线服务来生成大量数据作为日常活动的副产品。这些小的数据称为显微镜数据。微观数据的可用性为在机构层面解决了各种复杂的计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着实现微观数据的有益用途的能力。该项目开发和评估了一个架构，该架构允许个人监视和管理显微镜数据的共享，以最大程度地提高个人和机构实用程序。该项目开发了一个软件框架，以支持数据驱动的计划应用程序的实施，其中个人对使用数据的使用具有精良的控制。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观数据流的校园测试床； （ii）构建一个数据管理平台，该平台提供灵活的控件，以对微观数据的查询和转换施加基于使用的限制； （iii）开发使用微观数据来解决校园环境中与运输，空间和食物有关的实用计划问题的应用程序。拥有一个应对微观数据的基本安全和隐私挑战的开源平台可能会对实际应用和行业产生重大影响。在这笔资金的主持下，调查人员还将开发有关微观数据驱动计划的硕士级项目，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