CCRI: Medium: Collaborative Research: Hardware-in-the-Loop and Remotely-Accessible/Configurable/Programmable Internet of Things (IoT) Testbeds

CCRI：媒介：协作研究：硬件在环和远程访问/可配置/可编程物联网 (IoT) 测试平台

• 批准号: 2309477
• 负责人: Qiang Zeng
• 金额: $ 45万
• 依托单位: George Mason University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2309477&HistoricalAwards=false
• 关键词: CCRI; Medium; Collaborative; Research; Hardware

Internet of Things (IoT) devices and systems have a lot of applications, such as smart home, smart office, healthcare, elderly care, and industrial systems. International Data Corporation (IDC) report shows that over 815 million smart home IoT devices were shipped in 2019 and predicts that this number will reach 1.39 billion in 2023. There has been extensive research on IoT and related areas. However, most existing IoT research uses small-scale, ad hoc and non-realistic testbeds or simulation tools to generate data and/or evaluate their work. The U.S. IoT research community lacks high-fidelity experimental facilities to support rigorous and repeatable experimental evaluations of networked IoT systems. The objective of this project is to address the critical issue by developing an integrated IoT infrastructure that provides remotely accessible, configurable, and programmable IoT testbeds. The infrastructure is the first realistic large-scale one, and it includes a smart-home & IoT hardware testbed, a smart heath care testbed, and a smart-office IoT testbed. The testbeds will enable novel and high-quality research in many areas, such as hardware design, IoT, healthcare, elderly care, smart home/office, smart city, etc. This project will engage a broad community (including academia, industry, and government) in the design, development and management of the infrastructure. The project will integrate research with curriculum development, and broaden participation of computing by including underrepresented students and the K-12 community. Shared, remotely accessible, configurable, programmable, and observable IoT testbeds are in great need for researchers at different organizations to experiment and test their work at scale. This project addresses the critical issue by developing an integrated IoT infrastructure. The infrastructure includes three remotely accessible, configurable, and programmable IoT testbeds using one uniform interface: a smart-home & IoT hardware testbed, a smart heath care testbed, and a smart-office IoT testbed. Each testbed consists of several remotely-controllable/programmable robots (to emulate human activities), a large number of smart IoT devices, and an IoT edge server (to store and process IoT data locally. The smart-home & IoT hardware testbed also includes FPGA boards and a high-end mixed-signal oscilloscope, for developing the capabilities to interface with robots and IoT devices, and override their control as needed to further customize their functions. In this project, the team will develop hardware and software (e.g., smart IoT applications (apps), IoT management software, and web interfaces) to grant these off-the-shell IoT devices such remote access features. The proposed infrastructure will enable many new CISE research opportunities, such as remote hardware design and evaluation, configurable IoT hardware test, IoT research based on realistic testbeds and real IoT data, and efficient healthcare and elderly care utilizing smart IoT. With the three IoT testbeds, for the first time the broad research communities (such as hardware design, IoT, healthcare, elderly care, and smart home/office) will be able to generate, access and collect real data, as well as instrument and run experiments using real devices. This project will enable, extend and accelerate high-quality research in the broad areas, and contribute to bringing different communities together. The proposed infrastructure will enable a number of new CISE research opportunities and support high-fidelity research in healthcare, elderly care, smart home/office, IoT, hardware design, etc. (2) This project will engage a broad community (including academia, industry, and government). (3) The project will integrate the infrastructure development and the supported research into their curriculum development. This proposed project will directly foster new research and educational opportunities at Temple University, and two EPSCoR institutions (University of Arkansas and University of South Carolina). (4) The PIs will engage students of underrepresented groups and the K-12 community into this project. (5) In addition to publications, the PIs will create a publicly-accessible GitHub repository to share the project results.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（物联网）设备和系统具有很多应用，例如智能家居，智能办公室，医疗保健，老年护理和工业系统。国际数据公司（IDC）报告显示，2019年发货超过8.15亿个智能家用物联网设备，并预测，该数字将在2023年达到13.9亿。有关物联网和相关领域的研究。但是，大多数现有的物联网研究都使用小规模，临时和非现实测试台或仿真工具来生成数据和/或评估其工作。美国物联网研究社区缺乏高保真的实验设施，无法支持对网络物联网系统的严格且可重复的实验评估。该项目的目的是通过开发一个集成的物联网基础架构来解决关键问题，该集成的物联网基础架构可提供远程访问，可配置和可编程的物联网测试台。该基础架构是第一个现实的大规模大规模，其中包括一个智能的和物联网硬件测试台，智能卫生护理测试床和智能办公室的物联网测试台。测试床将在许多领域进行新颖和高质量的研究，例如硬件设计，物联网，医疗保健，老年护理，智能家庭/办公室，智能城市等。该项目将在基础设施的设计，开发和管理中吸引广泛的社区（包括学术界，工业和政府）。该项目将通过包括代表性不足的学生和K-12社区来将研究与课程开发相结合，并扩大计算的参与。共享，可访问，可配置，可编程和可观察的物联网测试床非常需要不同组织的研究人员进行大规模试验和测试其工作。该项目通过开发集成的物联网基础架构来解决关键问题。该基础架构包括三个可使用一个统一接口的远程访问，可配置和可编程的物联网测试台：智能家庭和IoT硬件测试台，智能卫生护理测试台和智能办公室物联网测试台。每个测试台由几个可远程控制/可编程的机器人（仿真人类活动），大量的智能物联网设备和一个物联网边缘服务器（用于本地存储和处理IoT数据。在此项目中自定义功能。医疗保健和老年护理利用智能物联网。该项目将在整个地区实现，扩展和加速高质量的研究，并促进不同社区的聚集。拟议的基础设施将使许多新的CISE研究机会，并支持医疗保健，老年护理，智能家庭/办公室，物联网，硬件设计等方面的高保真研究。（2）该项目将吸引一个广泛的社区（包括学术界，工业和政府）。 （3）该项目将将基础设施发展和支持的研究整合到其课程开发中。该提议的项目将直接在坦普尔大学（Temple University）和两个EPSCOR机构（阿肯色大学和南卡罗来纳大学）促进新的研究和教育机会。 （4）PIS将使代表性不足的团体和K-12社区的学生参与该项目。 （5）除出版物外，PIS还将创建一个公开访问的GitHub存储库来分享项目结果。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子和更广泛影响的评估审查标准来通过评估来获得支持的。

项目成果

Detecting and Handling IoT Interaction Threats in Multi-Platform Multi-Control-Channel Smart Homes

• 发表时间: 2023
• 作者: Haotian Chi;Qiang Zeng;Xiaojiang Du

Authentication for drone delivery through a novel way of using face biometrics

• DOI: 10.1145/3495243.3560550
• 发表时间: 2022-10
• 期刊: Proceedings of the 28th Annual International Conference on Mobile Computing And Networking
• 作者: Jonathan Sharp;Chuxiong Wu;Qiang Zeng

G2Auth: secure mutual authentication for drone delivery without special user-side hardware

• DOI: 10.1145/3498361.3538941
• 发表时间: 2022-06
• 期刊: Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services
• 作者: Chuxiong Wu;Xiaopeng Li;Lannan Luo;Qiang Zeng

No More Companion Apps Hacking but One Dongle: Hub-Based Blackbox Fuzzing of IoT Firmware

• DOI: 10.1145/3581791.3596857
• 发表时间: 2023-06
• 期刊: Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services
• 作者: Xiaoyue Ma;Qiang Zeng;Haotian Chi;Lannan Luo