CyberTraining: Implementation: Small: Infrastructure Cybersecurity Curriculum Development and Training for Advanced Manufacturing Research Workforce
网络培训:实施:小型:基础设施网络安全课程开发和先进制造研究人员培训
基本信息
- 批准号:2230025
- 负责人:
- 金额:$ 50万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-01-01 至 2025-12-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This project addresses the problem of Cyberinfrastructure (CI) needs in Advanced Manufacturing and Industry 4.0 by aiming to host a 10-week summer program for undergraduate, graduate students and CI professionals. The project develops instructional materials and implements a new CyberTrainng project to train current and future Advanced Manufacturing (AM) research workforce members in CI cybersecurity. It exposes the participants to various challenges of CI centered cybersecurity in Industry 4.0, with a focus on the vital national need for well trained and highly knowledgeable AM researchers who are capable of solving real-world cybersecurity problems in emerging complex Industry 4.0 manufacturing systems. The training also includes the secure and safe adoption of CI centered computational tools in AM. The project has direct and long term impacts in both the public and private sectors by training the research workforce to address CI centered cybersecurity challenges in Industry 4.0. University at Buffalo (UB) has established solid and intellectually-engaging programs in the areas of AM and CI centered research areas. This project can form a new synergetic research and education program for the AM research workforce. Moreover, utilizing the collaboration with established diversity-promotion programs at UB and local industrial partners, this CyberTraining project can significantly increase the collective impact of the project, benefiting numerous graduate and undergraduate students from underrepresented groups and improving the diversity of the research workforce.The goal of this project is to bridge the gap between general cybersecurity education and CI centered Advanced Manufacturing research training and to prepare a group of future AM research workforce with advanced CI cybersecurity knowledge to undertake specific roles in their future careers. Currently, as computers,networks and intelligent devices penetrating every aspect of Industry 4.0, CI cybersecurity training is in high demand to cover materials that deeply incorporate discipline-oriented topics for modern CI-centered manufacturing environments beyond core literacy in computers/networks security. Specifically, the team aims to develop and provide an innovative training program, including a set of hands-on labs that introduce domain specific cybersecurity attack surfaces and mitigation techniques. The training skills are crucial to address the various cybersecurity challenges of Industry 4.0 systems in AM hardware (e.g., industrial controllers and power line), AM software (e.g., embedded firmware, CAD/CAM software, and supervisory control and data acquisition (SCADA) systems), AM communication networks (e.g., industrial IoTs, CAN bus) and other crucial CI components (e.g., new side channel discovery, IP theft/protection, quality control tools, supply chain software/database, and incident response strategies). Moreover, the project employs learning science principles, specifically the active learning and inquiry based learning strategies, that facilitate students' learning outcomes and provide formative feedback to instructors.This project is jointly funded by OAC and the CyberCorps program.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.
该项目旨在为本科生、研究生和 CI 专业人员举办为期 10 周的暑期项目,解决先进制造和工业 4.0 中的网络基础设施 (CI) 需求问题。该项目开发教学材料并实施新的网络培训项目来培训现有人员。它让参与者面临工业 4.0 中以 CI 为中心的网络安全的各种挑战,重点关注国家对训练有素、知识渊博、有能力的 AM 研究人员的重要需求。该培训还包括在增材制造中安全可靠地采用 CI 计算工具,该项目通过培训研究对公共和私营部门产生直接和长期的影响。布法罗大学 (UB) 在以 AM 和 CI 为中心的研究领域建立了坚实且引人入胜的项目,该项目可以为 AM 形成一个新的协同研究和教育项目。研究人员。通过与布法罗大学和当地工业合作伙伴已建立的多样性促进项目的合作,该网络培训项目可以显着提高项目的集体影响力,使来自代表性不足群体的众多研究生和本科生受益,并提高研究人员的多样性。该项目的目标旨在弥合普通网络安全教育和以 CI 为中心的先进制造研究培训之间的差距,并准备一批具有先进 CI 网络安全知识的未来 AM 研究人员,以在当前计算机、网络和智能设备的渗透中承担特定角色。工业的各个方面4.0 时代,CI 网络安全培训迫切需要涵盖深度融入以 CI 为中心的现代制造环境的学科主题的材料,而不仅仅是计算机/网络安全的核心素养。具体来说,该团队的目标是开发和提供创新的培训计划,包括:一组介绍特定领域网络安全攻击面和缓解技术的实践实验室,对于解决增材制造硬件(例如工业控制器和电力线)、增材制造软件(例如工业 4.0 系统)的各种网络安全挑战至关重要。 , 嵌入式固件、CAD/CAM 软件以及监控和数据采集 (SCADA) 系统)、AM 通信网络(例如工业物联网、CAN 总线)和其他关键 CI 组件(例如新的侧通道发现、IP 盗窃/保护、质量此外,该项目采用了学习科学原理,特别是主动学习和基于探究的学习策略,可以促进学生的学习成果并向教师提供形成性反馈。该奖项由 OAC 和 CyberCorps 计划共同资助。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Wenyao Xu其他文献
SwinIR for Photoacoustic Computed Tomography Artifact Reduction
SwinIR 用于减少光声计算机断层扫描伪影
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Varun Shijo;Tri Vu;Junjie Yao;Wenyao Xu;Jun Xia - 通讯作者:
Jun Xia
Towards EEG biometrics: pattern matching approaches for user identification
走向脑电图生物识别:用于用户识别的模式匹配方法
- DOI:
10.1109/isba.2015.7126357 - 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Qiong Gui;Zhanpeng Jin;Maria V. Ruiz;Sarah Laszlo;Wenyao Xu - 通讯作者:
Wenyao Xu
Visible-Light-Driven Iron-Catalyzed Decarboxylative C-N Coupling Reaction of Alkyl Carboxylic Acids with NaNO2.
可见光驱动的铁催化烷基羧酸与 NaNO2 的脱羧 C-N 偶联反应。
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:5.2
- 作者:
Shilei Yang;Yi Wang;Wenyao Xu;Xiao Tian;Ming;Xiaoqiang Yu - 通讯作者:
Xiaoqiang Yu
Wearable Gait Lab System providing quantitative statistical support for human balance tests
可穿戴步态实验室系统为人体平衡测试提供定量统计支持
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Jiawei Cui;Jia Chen;Guanzhou Qu;James Starkman;Xiao Zeng;E. Madigan;Miriam Pekarek;Wenyao Xu;Ming - 通讯作者:
Ming
AirSense: A Portable Context-sensing Device for Personal Air Quality Monitoring
AirSense:用于个人空气质量监测的便携式情境感应设备
- DOI:
10.1145/2757290.2757293 - 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Zhuang Yan;Feng Lin;Eun;Wenyao Xu - 通讯作者:
Wenyao Xu
Wenyao Xu的其他文献
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{{ truncateString('Wenyao Xu', 18)}}的其他基金
IRES Track I: International Research Experience for Students on Assistive Technology for Aging and Disability
IRES 轨道 I:老龄化和残疾辅助技术学生的国际研究经验
- 批准号:
2106996 - 财政年份:2021
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
REU Site: Frontier Technologies for Biometrics and Authentication
REU 网站:生物识别和身份验证前沿技术
- 批准号:
2050910 - 财政年份:2021
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
EAGER: SARE: Collaborative Research: Exploring and Mitigating Attacks of Millimeter-wave Radar Sensors in Autonomous Vehicles
EAGER:SARE:协作研究:探索和减轻自动驾驶汽车中毫米波雷达传感器的攻击
- 批准号:
2028872 - 财政年份:2020
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
SaTC: CORE: Small: Collaborative: Cardiac Password: Exploring a Non-Contact and Continuous Approach to Secure User Authentication
SaTC:核心:小型:协作:心脏密码:探索非接触式和连续的安全用户身份验证方法
- 批准号:
1718375 - 财政年份:2017
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
TWC SBE: Medium: Collaborative: Brain Hacking: Assessing Psychological and Computational Vulnerabilities in Brain-based Biometrics
TWC SBE:媒介:协作:大脑黑客:评估基于大脑的生物识别技术中的心理和计算漏洞
- 批准号:
1564104 - 财政年份:2016
- 资助金额:
$ 50万 - 项目类别:
Continuing Grant
EAGER: Cybermanufacturing: Software/Hardware Combined Acceleration for 3D Printing in Mass Customization
EAGER:网络制造:大规模定制中 3D 打印的软件/硬件组合加速
- 批准号:
1547167 - 财政年份:2015
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
EAGER-DynamicData: Collaborative: Exploiting the Dynamically Architectural Configurability for Compressed Sensing
EAGER-DynamicData:协作:利用压缩感知的动态架构可配置性
- 批准号:
1462498 - 财政年份:2015
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
TWC SBE: Small: Collaborative: Brain Password: Exploring A Psychophysiological Approach for Secure User Authentication
TWC SBE:小型:协作:大脑密码:探索安全用户身份验证的心理生理学方法
- 批准号:
1423061 - 财政年份:2014
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
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