REU Site: Research Experience in Cyber-Security for Cyber-Physical Systems
REU 网站:网络物理系统网络安全研究经验
基本信息
- 批准号:1757659
- 负责人:
- 金额:$ 36万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-03-01 至 2022-02-28
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This research experience for undergraduates (REU) site has a focus on security of cyber-physical systems such as self-driving cars, unmanned aerial vehicle systems, robots, smart electrical grid systems and internet of things devices that are among the most important devices to secure due to their real-world interaction with humans, other equipment and the environment. These devices are also critical to manufacturing efficiency and national competitiveness. This program provides student participants an opportunity to gain experience in developing and analyzing cyber-security-related software for such cyber-physical systems. Through this experience, students learn about the process of and techniques for conducting research in cybersecurity, cyber-physical systems and the computing disciplines in general. They also come to better understand their own capabilities and interest in pursuing research careers, refining and potentially changing their career and educational goals. The project, thus, promotes the progress of science by allowing students to evaluate the pursuit of careers in research through immersive participation in a real-world research environment, and it advances national security and welfare through its focus on the area of cybersecurity. The projects focusing on topics such as self-driving cars and robots excite student participants and provide the opportunity for hands on work with hardware, allowing students to see the effect of decisions they have made regarding software design and security. Sample projects involve 1) the design of secure coordination systems, intrusion, and malicious data detection, 2) issue prevention and detection, 3) data trustworthiness, 4) sensor data trust assessment, and 5) supervisory control and data acquisition system security, and reliability analytics. Through these, students gain exposure to multiple sub-disciplines related to these projects, allowing them to experience in multiple related areas. They also gain an appreciation for the importance of each sub-discipline as well as the opportunity to work on a large project from start to finish in conjunction with their cadre-mates. Participating students complete research projects, including software development, results analysis and technical write-ups. They are mentored by North Dakota State University faculty through cadre-group, scheduled one-on-one and ad-hoc meetings. They gain appreciation of the importance of quality assurance processes, particularly for ensuring software security and the safety of cyber-physical systems, and they learn about the software lifecycle and proper software development practices. The projects are designed so that students, despite working on their own research goal and serving as the "lead scientist" on this goal, rely on other students for their success.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.
该本科生研究体验 (REU) 网站重点关注网络物理系统的安全,例如自动驾驶汽车、无人机系统、机器人、智能电网系统和物联网设备,这些设备由于在现实世界中与人类、其他设备和环境的交互而成为最重要的安全设备。 这些设备对于制造效率和国家竞争力也至关重要。该计划为学生参与者提供了获得为此类网络物理系统开发和分析网络安全相关软件的经验的机会。 通过这种体验,学生可以了解在网络安全、网络物理系统和一般计算学科方面进行研究的过程和技术。 他们还可以更好地了解自己在追求研究职业方面的能力和兴趣,完善并可能改变他们的职业和教育目标。 因此,该项目允许学生通过沉浸式参与现实世界的研究环境来评估研究职业的追求,从而促进科学进步,并通过关注网络安全领域来促进国家安全和福祉。 专注于自动驾驶汽车和机器人等主题的项目让学生参与者兴奋不已,并提供了动手操作硬件的机会,让学生看到他们在软件设计和安全方面做出的决策的效果。示例项目涉及 1) 安全协调系统、入侵和恶意数据检测的设计,2) 问题预防和检测,3) 数据可信度,4) 传感器数据信任评估,以及 5) 监督控制和数据采集系统安全性和可靠性分析。 通过这些,学生可以接触到与这些项目相关的多个子学科,从而获得多个相关领域的经验。他们还认识到每个子学科的重要性,以及与同事一起从头到尾参与大型项目的机会。 参与的学生完成研究项目,包括软件开发、结果分析和技术撰写。 他们由北达科他州立大学教师通过干部小组、预定的一对一会议和临时会议进行指导。 他们认识到质量保证流程的重要性,特别是对于确保软件安全和网络物理系统的安全,并且了解软件生命周期和正确的软件开发实践。 这些项目的设计目的是让学生,尽管致力于自己的研究目标并担任该目标的“首席科学家”,但仍依赖其他学生的成功。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(31)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Development of a 'fake news' machine learning classifier and a dataset for its testing
开发“假新闻”机器学习分类器及其测试数据集
- DOI:10.1117/12.2520131
- 发表时间:2019
- 期刊:
- 影响因子:0
- 作者:Fleck, William;Snell, Nicholas;Traylor, Terry;Straub, Jeremy
- 通讯作者:Straub, Jeremy
Assessment of a Hybrid Research Experience for Undergraduates Program During the COVID-19 Pandemic
COVID-19 大流行期间本科生混合研究体验项目评估
- DOI:
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Straub, Jeremy
- 通讯作者:Straub, Jeremy
Human Male Body Images from Multiple Perspectives with Multiple Lighting Settings
多种照明设置下多视角的男性身体图像
- DOI:10.3390/data4010003
- 发表时间:2019
- 期刊:
- 影响因子:2.6
- 作者:Clemons, William;Straub, Jeremy
- 通讯作者:Straub, Jeremy
Gradient descent training expert system
梯度下降训练专家系统
- DOI:10.1016/j.simpa.2021.100121
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Straub, Jeremy
- 通讯作者:Straub, Jeremy
Consideration of the Need for Quantum Grid Computing
- DOI:
- 发表时间:2021-06
- 期刊:
- 影响因子:0
- 作者:Dominic Rosch-Grace;J. Straub
- 通讯作者:Dominic Rosch-Grace;J. Straub
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Jeremy Straub其他文献
Implementation and Evaluation of a Gradient Descent-Trained Defensible Blackboard Architecture System
梯度下降训练的防御黑板架构系统的实现和评估
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Jordan Milbrath;Jonathan Rivard;Jeremy Straub - 通讯作者:
Jeremy Straub
Assessment of Factors Impacting the Perception of Online Content Trustworthiness by Age, Education and Gender
按年龄、教育程度和性别评估影响在线内容可信度认知的因素
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:2.1
- 作者:
Jeremy Straub;Matthew Spradling;Bob Fedor - 通讯作者:
Bob Fedor
Analysis of the acceptance of autonomous planetary science data collection by field of inquiry
- DOI:
10.1016/j.asr.2015.02.016 - 发表时间:
2015-06-01 - 期刊:
- 影响因子:
- 作者:
Jeremy Straub - 通讯作者:
Jeremy Straub
Jeremy Straub的其他文献
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