HBCU-RISE: Security Engineering for Resilient Mobile Cyber-Physical Systems

HBCU-RISE：弹性移动网络物理系统的安全工程

基本信息

批准号：
1828811
负责人：
Danda Rawat
金额：
$ 100万
依托单位：
Howard University
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：
2018-07-01 至 2023-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1828811&HistoricalAwards=false
关键词：
HBCU RISE Security Engineering Resilient

项目摘要

Security Engineering for Resilient Mobile Cyber-Physical SystemsThe Historically Black Colleges and Universities - Research Infrastructure for Science and Engineering (HBCU-RISE) program supports the development of research capability at Historically Black Colleges and Universities that offer doctoral degrees in science and engineering disciplines. Supported projects have a unifying research focus in one of the research areas supported by the National Science Foundation, a direct connection to the long-term plans of the host department, institutional strategic plan and mission, and plans for expanding institutional research capacity, as well as increasing the production of doctoral students, especially those underrepresented in science, technology, engineering and mathematics.With National Science Foundation support, Howard University in Washington, DC, will conduct a research project entitled "Security Engineering for Resilient Mobile Cyber-Physical Systems". The project consists of five related activities: (1) develop reproducible mobile cyber-physical system units; (2) design and evaluate a federated framework for incident detection and; (3) design and evaluate coupling of control, communication, and computation in mobile cyber-physical systems with a federated framework; (4) design and evaluate incident detection and response systems; (5) evaluation and validation of the proposed framework.The proposed research leverages multidisciplinary expertise in cybersecurity for connected systems, transportation cyber physical systems, cognitive radio networking, information security, big data analytics and distributed cloud computing to significantly advance the knowledge base and understanding of the emerging field of cyber-physical system security. The goal is to design, develop and evaluate the cyber-defense solutions for resilient cyber-physical systems using a federated framework. The project also aims to strengthen the institution's Electrical Engineering and Computer Science doctoral program and attract, retain and graduate underrepresented minority graduate and undergraduate students in the field of cyber security research. The project will enhance integrated cybersecurity research and education at Howard University by developing a mobile Physical Systems testbed for implementing and evaluating adaptive cyber-defense solutions for resiliency. The project supports United States government efforts to produce the next-generation of cybersecurity experts needed for government, academia and industry.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.

弹性移动网络物理系统的安全工程历史上黑人学院和大学 - 科学与工程研究基础设施 (HBCU-RISE) 计划支持历史上黑人学院和大学提供科学和工程学科博士学位的研究能力的发展。受支持的项目在国家科学基金会支持的研究领域之一具有统一的研究重点，与主办部门的长期计划、机构战略计划和使命以及扩大机构研究能力的计划直接相关增加博士生的产量，特别是那些在科学、技术、工程和数学领域代表性不足的博士生。在国家科学基金会的支持下，华盛顿特区的霍华德大学将开展一项题为“弹性移动网络物理系统的安全工程”的研究项目。该项目由五项相关活动组成：（1）开发可复制的移动信息物理系统单元； (2) 设计和评估事件检测联合框架； (3) 使用联邦框架设计和评估移动信息物理系统中控制、通信和计算的耦合； (4) 设计和评估事件检测和响应系统； (5) 对所提出的框架进行评估和验证。所提出的研究利用互联系统网络安全、交通网络物理系统、认知无线电网络、信息安全、大数据分析和分布式云计算方面的多学科专业知识，显着推进知识基础和理解网络物理系统安全这一新兴领域的研究。目标是使用联合框架设计、开发和评估弹性网络物理系统的网络防御解决方案。该项目还旨在加强该机构的电气工程和计算机科学博士课程，并吸引、保留和毕业网络安全研究领域代表性不足的少数族裔研究生和本科生。该项目将通过开发移动物理系统测试平台来加强霍华德大学的综合网络安全研究和教育，以实施和评估适应性网络防御解决方案的弹性。该项目支持美国政府努力培养政府、学术界和工业界所需的下一代网络安全专家。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，认为值得支持。

项目成果

期刊论文数量（24）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Fusion of Named Data Networking and Blockchain for Resilient Internet-of-Battlefield-Things

命名数据网络和区块链的融合，打造弹性战场物联网

DOI：
10.1109/ccnc46108.2020.9045395
发表时间：
2020-01
期刊：
2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC
影响因子：
0
作者：
Doku, Ronald;Rawat, Danda B.;Garuba, Moses;Njilla, Laurent
通讯作者：
Njilla, Laurent

Reinforcement Learning for IoT Security: A Comprehensive Survey

物联网安全的强化学习：综合调查

DOI：
10.1109/jiot.2020.3040957
发表时间：
2021-02-14
期刊：
IEEE Internet of Things Journal
影响因子：
10.6
作者：
Aashma Uprety;D. Rawat
通讯作者：
D. Rawat

Privacy Preserving Misbehavior Detection in IoV Using Federated Machine Learning

使用联合机器学习在车联网中进行隐私保护不当行为检测

DOI：
10.1109/ccnc49032.2021.9369513
发表时间：
2021-01-09
期刊：
2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC)
影响因子：
0
作者：
Aashma Uprety;D. Rawat;Jiang Li
通讯作者：
Jiang Li

On the machine learning for minimizing the negative influence in mobile cyber physical systems

关于最小化移动网络物理系统负面影响的机器学习