CC*: Integration-Large: POWWOW: Software-Defined Infrastructure for Wireless, Edge Cybersecurity Testbeds
CC*: Integration-Large: POWWOW: Software-Defined Infrastructure for Wireless, Edge Cybersecurity Testbeds
批准号:
2018912
负责人:
Anish Arora
金额:
$75.0万
依托单位:
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
项目状态:
已结题
起止时间:
2020-10-01 至 2024-03-31
中文摘要
该项目名为POWWOW,是一个在传感、边缘计算、网络、网络安全、隐私和道德方面进行大规模真实实验的试验台。POWWOW将扩展俄亥俄州立大学(OSU)经常使用的大型校园网络。通过在该网络的边缘和核心嵌入新颖的软件定义传感、计算和网络功能,研究人员将能够以一种精心控制的方式研究现实世界的通信和校园活动,从而不仅为传感和网络开发新技术,而且为网络安全、隐私和道德使用数据开发新技术和政策。POWWOW研究网络基础设施是独一无二的,因为它集成了俄勒冈州立大学的大规模生产网络,以支持智能传感的“生活实验室”研究。它专注于真实世界的传感和设备操作,将POWWOW与其他专注于通信和网络的无线网络测试平台区分开来。研究人员和教育工作者将添加他们自己的设备和系统,包括各种传感器、无线传感器网络、软件定义无线电、控制器、执行器和车辆,所有这些都可以动态测量。然后,研究人员可以私下和实时地处理来自这些设备的数据,共享数据,并与经过认证的用户及其设备进行安全通信,从而发现用于感知声学和射频环境以获取私人信息的新方法,以及隐藏信息的新方法。项目团队由来自俄勒冈州立大学多个研究所的研究人员以及来自俄勒冈州立大学CIO办公室的网络基础设施工程师组成,他们将把POWWOW转化为持续的、广泛的研究和教育项目的生产使用。从POWWOW中吸取的经验教训将使类似的系统能够在其他研究环境中复制,从而大大扩展研究规模。POWWOW将加速全国研究团体执行新型数据驱动研究和教育的能力。由于它连接到州一级的资源,如俄亥俄州网络靶场,它可以通过诸如Fabric-Net等倡议在国家一级加以利用,以刺激在无处不在的传感世界中设计隐私保护服务的道德基础的发展,在这种情况下,对每项服务的明确同意是不可实现的。项目活动将通过学术编程和研发机会吸引学生参与,从清理和管理数据到探索数据创新使用的黑客马拉松式项目,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,利用俄勒冈州立大学的GEM联盟和俄亥俄州LSAMP联盟等已建立的途径,让来自代表性不足群体的本科生参与其中,从而有助于扩大计算机领域的参与。POWWOW将在校内举办,网址是http://powwow.osu.edu。本网站将传播项目成果(如出版物、软件、系统设计和数据集),以及访问和使用POWWOW的政策和指导方针。随着POWWOW被研究人员采用并得到广泛使用,该站点将在本项目期间,甚至可能在项目结束后继续维护。该奖项反映了美国国家科学基金会的法定使命,并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。
英文摘要
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.
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DOI:
10.1145/3491418.3530759
发表时间:
2022-07
期刊:
Practice and Experience in Advanced Research Computing
影响因子:
--
作者:
[Jayson G. Boubin;A. Banerjee;Jihoon Yun;Haiyang Qi;Yuting Fang;Steve Chang;K. Srinivasan;R. Ramnath;A. Arora]
通讯作者:
Jayson G. Boubin;A. Banerjee;Jihoon Yun;Haiyang Qi;Yuting Fang;Steve Chang;K. Srinivasan;R. Ramnath;A. Arora
DOI:
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发表时间:
2023-11
期刊:
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
影响因子:
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作者:
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DOI:
10.4271/2023-01-0040
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2023
期刊:
SAE International Journal of Advances and Current Practices in Mobility
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RFTemp: Monitoring Microwave Oven Leakage to Estimate Food Temperature
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DOI:
10.1145/3494967
发表时间:
2021
期刊:
Wearable and Ubiquitous Technologies
影响因子:
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作者:
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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
影响因子:
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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:
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EAGER: Collaborative Research: III: Exploring Physics Guided Machine Learning for Accelerating Sensing and Physical Sciences
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批准号:2026704
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项目类别:Standard Grant
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资助金额:$5.02万
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财政年份:2020
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负责人:Anish Arora
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依托单位:
PC3: Collaborative Research: Wireless Sensor Networks for Protecting Wildlife and Humans
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批准号:1143685
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CPS:Small:Collaborative Research:Localization and System Services for SpatioTemporal Actions in Cyber-Physical Systems
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Collaborative Research: NeTS-NOSS: State-Based Specifications for Controlling and Configuring Sensor Networks
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项目类别:Continuing Grant
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资助金额:$34.5万
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财政年份:2005
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U.S. Attendance at the International Dagstuhl Seminar on Self-Stabilization
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RESEARCH INITIATION AWARD: Nonmasking Fault-tolerance in Distributed Systems
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依托单位:
海外基金