SpecEES: Collaborative Research: A Spectrum-Efficient and Secure Communication Architecture for Smart Cities

SpecEES：协作研究：智慧城市的频谱高效且安全的通信架构

• 批准号: 1824355
• 负责人: Yanchao Zhang
• 金额: $ 27.5万
• 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: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2022-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1824355&HistoricalAwards=false
• 关键词: SpecEES; Collaborative; Research; Spectrum; Efficient

Internet-of-things (IoT)-based smart cities can have a profound impact on transportation, healthcare, energy, education, social life, public safety, and many other sectors. The future of smart cities depends on spectrum efficient and secure communication techniques to interact with ubiquitous IoT devices. The proposed research, if successful, can be a catalyst for developing and deploying smart city applications, thus having potentially enormous impact on the U.S. economy by fostering job growth related to IoT-based smart cities. The proposed research will also enrich the scientific knowledge related to network and distributed system security, wireless networking, and mobile computing. A substantial portion of project deliverables will be made available publicly online in the form of talks, publications, datasets, and open-source code. The broader impact of this research will be further amplified by (i) improving curriculum development with enhanced course projects; (ii) disseminating research results through high-profile tutorials and open-source sites; and (iii) raising interest in technology among K-12 students and under-represented minority groups through open houses. In addition, the investigators aim to enhance undergraduate research experience through senior design projects and Research Experiences for Undergraduates (REU) supplements.In this project, two closely related research thrusts will be pursued: (i) spectrum-efficient communications; and (ii) secure and privacy-preserving communications. In the first research thrust, the project will leverage the unique physical-layer features among heterogeneous wireless communication technologies for concurrent communication to significantly improve spectrum efficiency in the unlicensed ISM band. In the second research thrust, the project will develop physical-layer authentication techniques, in which each IoT device superimposes some cryptographic, unforgeable information onto physical-layer signals for the IoT gateway to detect and verify before demodulating and decoding the signals. Working for both uplink and downlink transmissions, the proposed techniques can dramatically improve the resilience of the IoT system to illegitimate traffic.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.

基于物联网（IoT）的智慧城市可以对交通、医疗、能源、教育、社会生活、公共安全和许多其他领域产生深远的影响。智慧城市的未来取决于频谱效率和安全的通信技术，以与无处不在的物联网设备进行交互。这项研究如果成功，将成为开发和部署智能城市应用的催化剂，从而通过促进与物联网智能城市相关的就业增长，对美国经济产生潜在的巨大影响。拟议的研究还将丰富与网络和分布式系统安全、无线网络和移动的计算相关的科学知识。项目交付成果的很大一部分将以讲座、出版物、数据集和开源代码的形式在网上公开提供。这项研究的更广泛的影响将通过以下方式进一步扩大：（i）通过加强课程项目改进课程开发;（ii）通过高调的教程和开源网站传播研究成果;（iii）通过开放日提高K-12学生和代表性不足的少数群体对技术的兴趣。此外，研究人员旨在通过高级设计项目和本科生研究经验（REU）补充，提高本科生的研究经验。在这个项目中，两个密切相关的研究重点将被追求：（i）频谱效率的通信;和（ii）安全和隐私保护的通信。在第一个研究重点中，该项目将利用异构无线通信技术中独特的物理层功能进行并发通信，以显着提高未授权ISM频段的频谱效率。在第二个研究重点中，该项目将开发物理层身份验证技术，其中每个物联网设备将一些加密的不可伪造信息叠加到物理层信号上，以便物联网网关在解调和解码信号之前进行检测和验证。该奖项反映了NSF的法定使命，通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

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

Countering cross-technology jamming attack

• DOI: 10.1145/3395351.3399367
• 发表时间: 2020-07
• 期刊: Proceedings of the 13th ACM Conference on Security and Privacy in Wireless and Mobile Networks
• 作者: Zicheng Chi;Yan Li;Xin Liu;Wei Wang;Yao Yao-Yao;Ting Zhu;Yanchao Zhang

Deep Learning-Guided Jamming for Cross-Technology Wireless Networks: Attack and Defense

深度学习引导的跨技术无线网络干扰：攻击与防御

• DOI: 10.1109/tnet.2021.3082839
• 发表时间: 2021
• 期刊: IEEE/ACM Transactions on Networking
• 作者: Han, Dianqi;Li, Ang;Zhang, Lili;Zhang, Yan;Li, Jiawei;Li, Tao;Zhu, Ting;Zhang, Yanchao
• 通讯作者: Zhang, Yanchao

SpecKriging: GNN-Based Secure Cooperative Spectrum Sensing

• DOI: 10.1109/twc.2022.3181064
• 发表时间: 2022-11
• 期刊: IEEE Transactions on Wireless Communications
• 影响因子: 10.4
• 作者: Yan Zhang;Ang Li;Jiawei Li;Dianqi Han;Tao Li;Rui Zhang;Yanchao Zhang

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