CC*: Integration-Large: POWWOW: Software-Defined Infrastructure for Wireless, Edge Cybersecurity Testbeds

CC*：大型集成：POWWOW：用于无线、边缘网络安全测试台的软件定义基础设施

• 批准号: 2018912
• 负责人: Anish Arora
• 金额: $ 75万
• 依托单位: Ohio State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-10-01 至 2024-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2018912&HistoricalAwards=false
• 关键词: CC; Integration; Large; POWWOW; Software

The project, POWWOW, is a test-bed for large-scale, real-world experimentation in sensing, edge computing, networking, cyber-security, privacy and ethics. POWWOW will extend the large campus network that is in regular use at The Ohio State University (OSU). By embedding novel software-defined sensing, computing and networking capabilities at the edge and the core of this network, researchers will be able to study, in a carefully controlled manner, real-world communications and activities on campus, in order to develop new technology for not only sensing and networking but in particular technology and policies for cyber-security, privacy and ethical use of data.The POWWOW research cyberinfrastructure is unique because it integrates with OSU's large-scale production networks to support “living lab” studies in smart sensing. Its focus on real-world sensing and device operations distinguishes POWWOW from other wireless networking testbeds that focus on communication and networking. Researchers and educators will add their own devices and systems, including diverse sensors, wireless sensor networks, software defined radios, controllers, actuators, and vehicles all of which can be dynamically instrumented. Researchers may then, privately and in real time, process data from these devices, share the data, and communicate securely with authenticated users and their devices leading to the discovery of new methods for sensing the acoustic and the radio frequency environment to get private information as well as new methods for concealing information from being sensed. The project team is uniquely composed of researchers across OSU several institutes as well as cyberinfrastructure engineers from the OSU's Office of the CIO that will translate POWWOW into sustained, production use for wide-ranging projects in research and education. Lessons learned from POWWOW will enable systems like it to be replicated in other research environments, thus greatly scaling research.POWWOW will accelerate the ability of research communities across the nation to perform new types of data-driven research and education. Because it connects to state level resources, such as the Ohio Cyber Range, it may be leveraged at the national level through initiatives such as Fabric-Net, to stimulate the development of an ethical basis for designing privacy preserving services in a world of ubiquitous sensing where explicit consent for every service is infeasible. Project activities will engage students via academic programming and R&D opportunities, ranging from scrubbing and curating data to hackathon-type projects that explore innovative uses of data, and developing, deploying and supporting POWWOW capabilities. This project will contribute to broadening participation in computing by prioritizing research users and projects where engagement of undergraduates from under-represented groups by leveraging established pathways at OSU such as the GEM Consortium and the Ohio LSAMP Alliance.POWWOW will be hosted on campus at http://powwow.osu.edu. This site will disseminate the artifacts resulting from the project (such as publications, software, system designs and datasets), along with the policies and guidelines for accessing and using POWWOW. The site will be maintained for the duration of this project, and potentially well beyond it, as POWWOW is adopted by researchers and becomes widely used.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.

该项目POWWOW是用于传感，边缘计算，网络，网络安全，隐私和道德的大规模现实世界实验的测试床。 Powwow将扩展俄亥俄州立大学（OSU）定期使用的大型校园网络。通过嵌入该网络边缘和核心的新型软件定义的感应，计算和网络功能，研究人员将能够以经过精心控制的方式，现实世界的通信和校园的活动进行研究，以开发新的技术，不仅是感应和网络的，不仅是在技术和网络上，而且在技术和政策中都与cyber seberity cyberity cyberition cybertion cyber in It cyber in It cyber in It cyber in It rastion。大规模生产网络支持智能传感器中的“生活实验室”研究。它对现实世界的敏感性和设备操作的关注，将POWWOW与其他无线网络测试台区分开来，这些测试台着眼于通信和网络。研究人员和教育者将添加自己的设备和系统，包括潜水传感器，无线传感器网络，软件定义的无线电，控制器，执行器和车辆，所有这些都可以动态地进行仪器。然后，研究人员可以私下和实时处理这些设备的数据，共享数据，并与身份验证的用户及其设备安全通信，从而发现发现新方法，以感知声学和射频频率环境，以获取私人信息以及隐藏信息的新方法。该项目团队由OSU的研究人员组成，来自OSU的多个机构以及CIO OSU办公室的网络基础设施工程师，这些工程师将把Powwow转化为研究和教育领域的大型项目的持续生产。从POWWOW中学到的经验教训将使像IT这样的系统能够在其他研究环境中进行复制，因此大大扩展研究。PowWow将加速全国研究社区执行新型数据驱动研究和教育的能力。因为它连接到俄亥俄州网络范围之类的州一级资源，因此可以通过诸如Fabric-Net之类的计划在国家一级利用它，以刺激在一个无处不在的敏感性世界中设计隐私服务的道德基础的发展，而每种服务的明确表示同意是可知的。项目活动将通过学术编程和研发机会吸引学生，从擦洗和策划数据到黑客马拉松型项目，这些项目探讨了数据的创新用途，以及开发，部署和支持POWWOW功能。该项目将通过优先考虑研究用户和项目的优先级，从而有助于扩大计算的参与，这些项目通过利用OSU的既定途径（例如Gem Consortium and ohio Lsamp Alliance）的既定途径的参与。该站点将传播该项目产生的工件（例如出版物，软件，系统设计和数据集），以及访问和使用POWWOW的策略和准则。由于Powwow被研究人员采用并被广泛使用，该奖项将在该项目的持续时间内维持该站点，并有可能远远超出该项目的范围。该奖项反映了NSF的法定任务，并通过使用该基金会的智力优点和更广泛影响的审查标准来评估NSF的法定任务。

项目成果

PROWESS: An Open Testbed for Programmable Wireless Edge Systems

• DOI: 10.1145/3491418.3530759
• 发表时间: 2022-07
• 期刊: Practice and Experience in Advanced Research Computing
• 作者: Jayson G. Boubin;A. Banerjee;Jihoon Yun;Haiyang Qi;Yuting Fang;Steve Chang;K. Srinivasan;R. Ramnath;A. Arora

Cybersecurity Vulnerabilities for Off-Board Commercial Vehicle Diagnostics

商用车车外诊断的网络安全漏洞

• DOI: 10.4271/2023-01-0040
• 发表时间: 2023
• 期刊: SAE International Journal of Advances and Current Practices in Mobility
• 作者: Kumar, Sharika;Daily, Jeremy;Ahmed, Qadeer;Arora, Anish
• 通讯作者: Arora, Anish

RFTemp: Monitoring Microwave Oven Leakage to Estimate Food Temperature

RFTemp：监测微波炉泄漏以估计食物温度

• DOI: 10.1145/3494967
• 发表时间: 2021
• 期刊: Wearable and Ubiquitous Technologies
• 作者: Banerjee, Avishek;Srinivasan, Kannan
• 通讯作者: Srinivasan, Kannan

Infrastructure-free, Deep Learned Urban Noise Monitoring at ~100mW

无需基础设施、深度学习的城市噪声监测，功率约为 100mW

• DOI: 10.1109/iccps54341.2022.00012
• 发表时间: 2022
• 期刊: 2022 ACM/IEEE 13th International Conference on Cyber-Physical Systems (ICCPS
• 作者: Yun, Jihoon;Srivastava, Sangeeta;Roy, Dhrubojyoti;Stohs, Nathan;Mydlarz, Charlie;Salman, Mahin;Steers, Bea;Bello, Juan Pablo;Arora, Anish
• 通讯作者: Arora, Anish

PAMLR: A Passive-Active Multi-Arm Bandit-Based Solution for LoRa Channel Allocation

• DOI: 10.1145/3600100.3623725
• 发表时间: 2023-11
• 期刊: Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
• 作者: Jihoon Yun;Chengzhang Li;Anish Arora