TC: Small: Trustworthy Mobile Sensing

TC：小型：值得信赖的移动传感

• 批准号: 1018547
• 负责人: Landon Cox
• 金额: $ 14.76万
• 依托单位: Duke University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1018547&HistoricalAwards=false
• 关键词: TC; Small; Trustworthy; Mobile; Sensing

Consumer mobile devices such as smartphones have been proposed for use in a wide range of settings, including citizen journalism, citizen science, and domestic eldercare. Re-purposing consumer devices in these domains is appealing because consumer devices offer a low-cost, highly-scalable platform for mobile sensing that can expand coverage and reduce costs.At the same time, these application scenarios raise new data-integrity and privacy challenges. Organizations currently rely on non-technical economic and legal frameworks to establish trust in sensed data: integrity guidelines specify how data can be gathered and handled, and data sources are held accountable through binding legal agreements. Unfortunately, these frameworks are not anonymous and do not scale to the billions of world-wide mobile-phone users.Trustworthy mobile sensing offers a technical way to ensure data integrity without sacrificing anonymity. This project investigates building a platform for trustworthy mobile sensing using Trusted Platform Module (TPM) hardware. Three trusted software subsystems sit on top of TPM functionality: 1) a trusted path for sensor data from sensing hardware to untrusted applications' address spaces, 2) a trusted runtime for transparently monitoring untrusted applications as they execute, and 3) a trusted post-facto analysis engine for comparing untrusted applications' input sensor data to the digital artifacts they generate. Taken together, this combination of hardware and software provides a strong foundation for reasoning about the trustworthiness of anonymous, user-generated content.

智能手机等消费类移动设备已被提议在广泛的环境中使用，包括公民新闻、公民科学和家庭养老。在这些领域重新调整消费设备的用途很有吸引力，因为消费设备为移动感知提供了一个低成本、高度可扩展的平台，可以扩大覆盖范围并降低成本。同时，这些应用场景提出了新的数据完整性和隐私挑战。组织目前依靠非技术、经济和法律框架来建立对敏感数据的信任：完整性准则规定了如何收集和处理数据，并通过具有约束力的法律协议追究数据源的责任。不幸的是，这些框架不是匿名的，并且不能扩展到全球数十亿移动电话用户。可信移动感知提供了一种在不牺牲匿名性的情况下确保数据完整性的技术方法。该项目研究使用可信平台模块(TPM)硬件构建可信移动感知平台。三个可信软件子系统位于TPM功能之上：1)传感器数据从传感硬件到不可信应用程序地址空间的可信路径；2)可信运行时，用于在不可信应用程序执行时透明地监视它们；以及3)可信事后分析引擎，用于将不可信应用程序的输入传感器数据与它们生成的数字人工产物进行比较。总而言之，硬件和软件的结合为用户生成的匿名内容的可信性推理提供了坚实的基础。