CAREER: A Trustworthy and Verifiable Software Backplane for the Cloud Edge

职业：值得信赖且可验证的云边缘软件背板

基本信息

批准号：
2128725
负责人：
Felix Xiaozhu Lin
金额：
$ 47.97万
依托单位：
University of Virginia Main Campus
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-12-01 至 2024-05-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2128725&HistoricalAwards=false
关键词：
CAREER Trustworthy Verifiable Software Backplane

项目摘要

Internet of things (IoT) produces a large influx of streaming data. The high cost and long latency in shipping raw IoT data necessitates edge processing. The objective of this project is to safeguard IoT data during edge processing. It seeks to establish a trusted data path on the edge. As the data flows through the path, the proposed edge system ensures 1) data confidentiality: IoT data is only accessible to trusted parties; 2) integrity: all the data having arrived at the edge is exactly manipulated according to the planned processing; 3) verifiability: data flows and computations on the edge are verifiable to a trusted cloud backend. The project's research thrusts will be tightly integrated with its education and outreach plan, educating students on trustworthy computing scenarios as well as stimulating the public's interests in science, technology, engineering, and math (STEM). There are plans to contribute fresh contents to curriculum; enhance student maker activities with in-situ IoT analytics; provide a summer course on IoT/Edge for local children; and, present relevant outreach at community IoT events. As IoT is revolutionizing modern society, the project aims toward more secure and efficient intelligence driven by IoT data.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

物联网（IoT）产生大量流数据。运输原始物联网数据的高成本和长期延迟需要边缘处理。该项目的目的是在边缘处理过程中保护IoT数据。它试图在边缘建立一个受信任的数据路径。随着数据流经路径的流动，提出的边缘系统可确保1）数据机密性：IoT数据仅适用于受信任的各方； 2）完整性：所有到达边缘的数据均根据计划的处理精确操纵； 3）可验证性：边缘上的数据流和计算可通过可信赖的云后端进行验证。该项目的研究作用将与其教育和外展计划紧密融合，对学生进行可信赖的计算情况以及刺激公众对科学，技术，工程和数学（STEM）的利益。有计划为课程贡献新鲜内容；通过现场物联网分析来增强学生创作者的活动；在当地儿童的物联网/边缘提供夏季课程；并且，在社区IoT活动中介绍相关的外展活动。随着物联网正在彻底改变现代社会的革命性，该项目的目标是由物联网数据驱动的更安全，更有效的情报。该奖项反映了NSF的法定使命，并被认为是值得通过基金会的知识分子优点和更广泛的影响评估标准来通过评估来支持的。