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

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:
$75.0万
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

项目摘要

项目成果

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中文摘要
翻译
该项目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测试平台。POWWOW将扩展俄亥俄州州立大学(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的软件定义的传感,计算和网络功能,研究人员将能够以仔细控制的方式研究校园中的真实通信和活动,以便开发新技术,不仅用于传感和网络,而且特别是网络安全的技术和政策,POWWOW研究网络基础设施是独一无二的,因为它与俄勒冈州立大学的大规模生产网络相集成,以支持智能传感的“生活实验室”研究。它专注于现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、软件定义的无线电、控制器、执行器和车辆,所有这些都可以动态仪表化。然后,研究人员可以私下地并且在真实的时间中处理来自这些设备的数据,共享数据,并且与经认证的用户及其设备安全地通信,从而发现用于感测声学和射频环境以获得私人信息的新方法以及用于隐藏信息以免被感测的新方法。该项目团队由OSU几个研究所的研究人员以及OSU CIO办公室的网络基础设施工程师组成,他们将POWWOW转化为广泛的研究和教育项目的持续生产使用。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。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。因为它连接到州一级的资源,如俄亥俄州网络范围,它可以在国家一级的杠杆作用,通过倡议,如Fabric-Net,以刺激发展的道德基础,设计隐私保护服务的无处不在的感知世界中,明确同意每一个服务是不可行的。项目活动将通过学术编程和研发机会吸引学生,从清理和管理数据到探索数据创新用途的黑客马拉松式项目,以及开发,部署和支持POWWOW功能。这个项目将有助于扩大参与计算的优先研究用户和项目,其中参与的本科生从代表性不足的群体,通过利用在俄勒冈州立大学,如创业板联盟和俄亥俄州LSAMP联盟既定的途径。POWWOW将在校园主办http://powwow.osu.edu。该网站将传播项目产生的工件(如出版物、软件、系统设计和数据集),沿着访问和使用POWWOW的政策和指导方针。该网站将在本项目期间进行维护,并且随着POWWO被研究人员采用并被广泛使用,该网站可能会在本项目结束后继续维护。该奖项反映了NSF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.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
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: 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
影响因子: --
作者: [Jihoon Yun;Chengzhang Li;Anish Arora]
通讯作者: Jihoon Yun;Chengzhang Li;Anish Arora
DOI: 10.4271/2023-01-0040
发表时间: 2023
期刊: SAE International Journal of Advances and Current Practices in Mobility
影响因子: --
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
影响因子: --
作者: [Banerjee, Avishek, Srinivasan, Kannan]
通讯作者: Srinivasan, Kannan
EAGER: Collaborative Research: III: Exploring Physics Guided Machine Learning for Accelerating Sensing and Physical Sciences
  • 批准号:
    2026704
  • 项目类别:
    Standard Grant
  • 资助金额:
    $5.02万
  • 财政年份:
    2020
  • 负责人:
    Anish Arora
  • 依托单位:
PC3: Collaborative Research: Wireless Sensor Networks for Protecting Wildlife and Humans
  • 批准号:
    1143685
  • 项目类别:
    Standard Grant
  • 资助金额:
    $17.82万
  • 财政年份:
    2011
  • 负责人:
    Anish Arora
  • 依托单位:
CPS:Small:Collaborative Research:Localization and System Services for SpatioTemporal Actions in Cyber-Physical Systems
Collaborative Research: NeTS-NOSS: State-Based Specifications for Controlling and Configuring Sensor Networks
海外基金