SaTC: CORE: Small: Collaborative: Trustworthy Hierarchical Edge Computing

SaTC：核心：小型：协作：值得信赖的分层边缘计算

• 批准号: 1933069
• 负责人: Yanchao Zhang
• 金额: $ 25万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-11-01 至 2022-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1933069&HistoricalAwards=false
• 关键词: SaTC; CORE; Small; Collaborative; Trustworthy

Edge computing has quickly risen as an effective paradigm to capture, process, gain insights from, and act upon the massive amount of Internet of Things (IoT) data close to where it is generated. Future edge computing systems are expected to be hierarchical and heterogeneous. It will become increasingly common for a single IoT application to utilize edge computing resources owned by multiple entities. This project envisions the emergence of hierarchical edge computing (HEC) service providers that purchase computing services from heterogeneous multi-owner edge computing systems and provide unified edge computing services to individual IoT applications. The development of HEC systems will have a profound impact on transportation, healthcare, energy, education, social life, public safety, and many other sectors. Security and privacy are among the most challenging obstacles that hinder the wide development and deployment of the promising HEC paradigm.This project aims to tackle key security and privacy challenges in HEC systems, under which heterogeneous multi-owner edge computing systems can jointly provide trustworthy computing services to end-users via a single service provider. There are four research thrusts: (1) developing novel techniques to authenticate data streams with freshness guarantees; (2) investigating locally differentially private data analysis techniques via correlated randomized responses; (3) designing a novel framework for distributed privacy-preserving collaborative learning; and (4) building a prototype HEC system to thoroughly validate and evaluate the proposed techniques. If successful, the research can serve as a key enabler for the explosive development and deployment of edge computing services and IoT applications. The research will also enrich the scientific knowledge of network and distributed system security, data privacy, and edge computing. A substantial quantity of project deliverables will be made publicly available online through tutorials, talks, publications, and software toolkits. In addition, this project will integrate the research activities with curriculum development, provide research opportunities to female and underrepresented students, enhance undergraduate research experience through senior design projects, and foster the interest of K-12 students in science, technology, engineering, and math (STEM) via outreach programs.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.

边缘计算已迅速成为一种有效的范例，可以捕获、处理、获取洞察力，并对靠近其生成位置的大量物联网（IoT）数据采取行动。未来的边缘计算系统预计将是分层和异构的。单个物联网应用程序利用多个实体拥有的边缘计算资源将变得越来越普遍。该项目设想出现分层边缘计算（HEC）服务提供商，从异构多所有者边缘计算系统购买计算服务，并为单个物联网应用提供统一的边缘计算服务。HEC系统的发展将对交通、医疗、能源、教育、社会生活、公共安全等诸多领域产生深远影响。安全和隐私是阻碍有前途的HEC范式广泛开发和部署的最具挑战性的障碍之一。该项目旨在解决HEC系统中的关键安全和隐私挑战，在该项目下，异构多所有者边缘计算系统可以联合提供值得信赖的计算服务通过单个服务提供商向最终用户提供服务。有四个研究重点：（1）开发新的技术，以验证数据流的新鲜度保证;（2）调查本地差分私人数据分析技术通过相关的随机响应;（3）设计一个新的框架，分布式隐私保护协作学习;（4）建立一个原型HEC系统，彻底验证和评估所提出的技术。如果成功，该研究可以成为边缘计算服务和物联网应用爆炸式开发和部署的关键推动因素。该研究还将丰富网络和分布式系统安全，数据隐私和边缘计算的科学知识。将通过教程、讲座、出版物和软件工具包在网上公开提供大量项目交付成果。 此外，该项目将把研究活动与课程开发结合起来，为女性和代表性不足的学生提供研究机会，通过高级设计项目增强本科生的研究经验，并培养K-12学生对科学，技术，工程，数学（STEM）该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准。

项目成果

KV-Fresh: Freshness Authentication for Outsourced Multi-Version Key-Value Stores

KV-Fresh：外包多版本键值存储的新鲜度认证

• DOI: 10.1109/infocom41043.2020.9155270
• 发表时间: 2020
• 期刊: IEEE International Conference on Computer Communications (INFOCOM
• 作者: Hu, Yidan;Zhang, Rui;Zhang, Yanchao
• 通讯作者: Zhang, Yanchao

Verifiable Query Processing Over Outsourced Social Graph

通过外包社交图进行可验证的查询处理

• DOI: 10.1109/tnet.2021.3085574
• 发表时间: 2021
• 期刊: IEEE/ACM Transactions on Networking
• 作者: Yao, Xin;Zhang, Rui;Huang, Dingquan;Zhang, Yanchao
• 通讯作者: Zhang, Yanchao

IndoorWaze: A Crowdsourcing-Based Context-Aware Indoor Navigation System

• DOI: 10.1109/twc.2020.2993545
• 发表时间: 2020-05
• 期刊: IEEE Transactions on Wireless Communications
• 影响因子: 10.4
• 作者: Tao Li;Dianqi Han;Yimin Chen;Rui Zhang;Yanchao Zhang;Terri Hedgpeth

(In)secure Acoustic Mobile Authentication

• DOI: 10.1109/tmc.2021.3053282
• 发表时间: 2022-09
• 期刊: IEEE Transactions on Mobile Computing
• 影响因子: 7.9
• 作者: Dianqi Han;Ang Li;Tao Li;Lili Zhang;Yan Zhang;Jiawei Li;Rui Zhang;Yanchao Zhang

A Spatiotemporal Approach for Secure Crowdsourced Radio Environment Map Construction

• DOI: 10.1109/tnet.2020.2992939
• 发表时间: 2020-05
• 期刊: IEEE/ACM Transactions on Networking
• 作者: Yidan Hu;Rui Zhang