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.

基于国际互联网（IoT）的智能城市可能会对运输，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。智能城市的未来取决于频谱有效且安全的通信技术，以与无处不在的物联网设备进行交互。拟议的研究，如果成功的话，可以成为开发和部署智能城市应用程序的催化剂，从而通过促进与基于物联网的智能城市相关的工作增长来对美国经济产生巨大影响。拟议的研究还将丰富与网络和分布式系统安全性，无线网络和移动计算相关的科学知识。项目可交付成果的很大一部分将以谈判，出版物，数据集和开源代码的形式在线公开提供。通过（i）通过增强的课程项目改善课程开发，将进一步扩大这项研究的广泛影响； （ii）通过备受瞩目的教程和开源站点来传播研究结果； （iii）通过开放式房屋对K-12学生和代表性不足的少数群体提高对技术的兴趣。此外，调查人员旨在通过高级设计项目和本科生（REU）补充剂的研究经验来增强本科研究经验。在该项目中，将提出两个密切相关的研究推力：（i）频谱效率的沟通； （ii）安全且保护隐私的通信。在第一个研究的建议中，该项目将利用异类无线通信技术中的独特物理层特征，以同时进行交流，以显着提高未经许可的ISM频段的频谱效率。在第二项研究中，该项目将开发物理层的身份验证技术，其中每个物联网设备将一些加密的，不可固定的信息叠加到物理层信号上，用于物联网网关，以检测和验证在解调和解码信号之前检测和验证。为上行链路传输和下行链路传输而设计，该提议的技术可以极大地提高物联网系统对非法交通的弹性。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛的影响审查标准来评估通过评估来获得支持的。

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

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

(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

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