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: 1933047
• 负责人: Rui Zhang
• 金额: $ 25万
• 依托单位: University of Delaware
• 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 2023-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1933047&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.

Edge Computing已迅速成为一种有效的范式，以捕获，处理，获得洞察力并采取大量物联网（IoT）数据的作用。预计未来的边缘计算系统将是层次和异质性的。单个物联网应用程序使用多个实体拥有的边缘计算资源将变得越来越普遍。该项目设想了从异质多主边缘计算系统购买计算服务的层次边缘计算（HEC）服务提供商的出现，并向单个物联网应用程序提供统一的边缘计算服务。 HEC系统的发展将对运输，医疗保健，能源，教育，社会生活，公共安全和许多其他部门产生深远的影响。安全性和隐私是阻碍有希望的HEC Paradigm的广泛发展和部署的最具挑战性的障碍之一。该项目旨在应对HEC系统中的关键安全性和隐私挑战，在该系统下，在该系统下，多种多样的多群体边缘计算系统可以通过单个服务提供商共同为最终的使用者为最终的使用者提供非均匀的计算机服务。有四个研究作用：（1）开发新型技术来以新鲜度保证对数据流进行身份验证； （2）通过相关的随机响应研究本地私人数据分析技术； （3）设计一个新颖的框架，用于分布式隐私的协作学习； （4）构建原型HEC系统，以彻底验证和评估所提出的技术。如果成功，该研究可以作为边缘计算服务和物联网应用程序爆炸性开发和部署的关键推动者。该研究还将丰富网络和分布式系统安全性，数据隐私和边缘计算的科学知识。大量项目可交付成果将通过教程，演讲，出版物和软件工具包在线公开提供。 此外，该项目将将研究活动与课程开发相结合，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研究经验，并促进K-12学生对科学，技术，工程和数学（STEM）通过外展计划的兴趣，这些奖项反映了NSF的法定任务和审查的范围，这表明了审查的范围。

项目成果

Authenticating Outsourced Location-Based Skyline Queries under Shortest Path Distance

最短路径距离下验证外包的基于位置的天际线查询

• DOI: 10.1109/cns59707.2023.10288754
• 发表时间: 2023
• 期刊: IEEE
• 作者: Hu, Yidan;Dong, Yukun;Chen, Wenxin;Dong, Yingfei;Zhang, Rui
• 通讯作者: Zhang, Rui

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

Locally Differentially Private and Fair Key-Value Aggregation

• DOI: 10.1145/3628797.3628807
• 发表时间: 2023-12
• 期刊: Proceedings of the 12th International Symposium on Information and Communication Technology
• 作者: Yukun Dong;Zhengwu Lu;Rui Zhang

Continuous Indoor Tracking via Differential RSS Fingerprinting

• DOI: 10.1109/mass56207.2022.00072
• 发表时间: 2022-10
• 期刊: 2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS)
• 作者: Yunzhi Li;Yidan Hu;A. Aseeri;Yukun Dong;Rui Zhang

Locally Differentially Private Quantile Summary Aggregation in Wireless Sensor Networks

无线传感器网络中的局部差分私有分位数汇总聚合

• 发表时间: 2022
• 期刊: Asian Conference on Intelligent Information and Database Systems
• 作者: Aseeri, Aishah;Zhang, Rui
• 通讯作者: Zhang, Rui