NSF Engines Development Award: Advancing cyber security technologies in the Central Savannah River Area (GA, SC)

NSF 引擎开发奖：推进萨凡纳河中部地区（佐治亚州、南卡罗来纳州）的网络安全技术

基本信息

批准号：
2306109
负责人：
Alexander Schwarzmann
金额：
$ 100万
依托单位：
AUGUSTA UNIVERSITY RESEARCH INSTITUTE, INC.
依托单位国家：
美国
项目类别：
Cooperative Agreement
财政年份：
2023
资助国家：
美国
起止时间：
2023-05-15 至 2025-04-30
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2306109&HistoricalAwards=false
关键词：
NSF Engines Development Award Advancing

项目摘要

This Regional Innovation Engines Development Award is focused on the area along the Savannah River, spanning several counties in Georgia and South Carolina with the center in the greater Augusta region. The technical themes of the effort are the related areas of cybersecurity, cyber-physical systems, edge computing, and the Internet of Things. The confirmed partners include Augusta University (lead institution), Georgia Cyber Center (GCC), University of Georgia, Clark Atlanta University (CAU), Augusta Technical College, Army Cyber Command (ARCYBER), Savannah River National Laboratory, Georgia Bureau of Investigation (GBI), Trideum Corporation, Bigbear.AI, and the International Economic Development Council (IEDC). The region is well positioned for a future NSF Engine in this technical area because of aligned interests of major government entities, the recent consolidation of ARCYBER in Augusta, academic partners that support vital programs in cybersecurity and related areas, and a growing number of private companies. The region of service currently has a relatively low socio-economic status at the current time, and this award can have a transformative impact on the area.Cybercrime costs and the value of security services are increasing rapidly, so cybersecurity is critical for the Nation. Moreover, as computing has become ubiquitous in various devices around us, there is an ever-growing attack surface to defend, implying opportunities for significant economic activity. The components of this award include: 1) Use-Inspired Research - the academic partners have built relationships with government and private agencies, including aligning research with needs of ARCYBER and SRNL. The relationships will be expanded to include other government and private partners through events and interactions and by supporting paid internships for students at local small businesses. 2) Workforce Development - the focus will be on expanding enrollments in existing programs at the universities and two-year colleges in the area, sharing materials across different academic partners, and entrepreneurship training. 3) Transition to Practice: Strengths of partners (IEDC, CAU, and GCC) will be used to help transition research to practice and foster new businesses, especially for minorities and veterans. An economic scan conducted by IEDC will also help guide future actions. The proposed integration among the partners, together with growing workforce development and synergistic activities to support businesses, will prepare the team for a full NSF Engine in two years.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.

该区域创新引擎发展奖主要针对萨凡纳河沿岸地区，横跨佐治亚州和南卡罗来纳州的多个县，以大奥古斯塔地区为中心。这项工作的技术主题是网络安全、网络物理系统、边缘计算和物联网的相关领域。已确认的合作伙伴包括奥古斯塔大学（牵头机构）、佐治亚网络中心（GCC）、佐治亚大学、克拉克亚特兰大大学（CAU）、奥古斯塔技术学院、陆军网络司令部（ARCYBER）、萨凡纳河国家实验室、佐治亚调查局（ GBI）、Trideum Corporation、Bigbear.AI 和国际经济发展理事会 (IEDC)。由于主要政府实体的利益一致、ARCYBER 最近在奥古斯塔的合并、支持网络安全及相关领域重要项目的学术合作伙伴以及越来越多的私营公司，该地区在该技术领域为未来的 NSF 引擎做好了充分准备。该服务地区目前的社会经济地位相对较低，该奖项可以对该地区产生变革性影响。网络犯罪成本和安全服务的价值正在迅速增加，因此网络安全对于国家至关重要。此外，随着计算在我们周围的各种设备中变得无处不在，需要防御的攻击面不断扩大，这意味着重大经济活动的机会。该奖项的组成部分包括： 1) 受使用启发的研究 - 学术合作伙伴与政府和私营机构建立了关系，包括使研究与 ARCYBER 和 SRNL 的需求保持一致。这些关系将通过活动和互动以及支持学生在当地小企业的带薪实习扩大到包括其他政府和私人合作伙伴。 2) 劳动力发展——重点是扩大该地区大学和两年制学院现有项目的招生规模、在不同学术合作伙伴之间共享材料以及创业培训。 3) 向实践过渡：将利用合作伙伴（IEDC、CAU 和 GCC）的优势，帮助研究向实践过渡，并培育新业务，特别是针对少数族裔和退伍军人。 IEDC 进行的经济扫描也将有助于指导未来的行动。合作伙伴之间拟议的整合，加上不断增长的劳动力发展和支持企业的协同活动，将使团队在两年内为完整的 NSF 引擎做好准备。该奖项反映了 NSF 的法定使命，并通过使用基金会的评估进行评估，被认为值得支持。智力价值和更广泛的影响审查标准。

项目成果

期刊论文数量（6）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Cyber Security Issues in the Industrial Applications of Digital Twins

数字孪生工业应用中的网络安全问题

DOI：
10.1109/ssci52147.2023.10371850
发表时间：
2023-12-05
期刊：
2023 IEEE Symposium Series on Computational Intelligence (SSCI)
影响因子：
0
作者：
Sunzida Siddique;Mohd Ariful Haque;Rakib Hossain Rifat;Roy George;K. Shujaee;Kishor Datta Gupta
通讯作者：
Kishor Datta Gupta

Survey on Machine Learning Biases and Mitigation Techniques

机器学习偏差和缓解技术调查

DOI：
10.3390/digital4010001
发表时间：
2024-03
期刊：
Digital
影响因子：
0
作者：
Siddique, Sunzida;Haque, Mohd Ariful;George, Roy;Gupta, Kishor Datta;Gupta, Debashis;Faruk, Md Jobair
通讯作者：
Faruk, Md Jobair

Security threats on Data-Driven Approaches for Luggage Screening

数据驱动的行李检查方法面临的安全威胁

DOI：
10.1109/ccwc60891.2024.10427869
发表时间：
2024-01-08
期刊：
2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC)
影响因子：
0
作者：
Debashis Gupta;Aditi Golder;Kishor Datta Gupta;Dipankar Dasgupta;Roy George;K. Shujaee
通讯作者：
K. Shujaee

Challenges and Opportunities of Computational Intelligence in Industrial Control System (ICS)

工业控制系统（ICS）中计算智能的挑战和机遇

DOI：
10.1109/ssci52147.2023.10371954
发表时间：
2023-12
期刊：
2023 IEEE Symposium Series on Computational Intelligence (SSCI
影响因子：
0
作者：
Siddique, Sunzida;Haque, Mohd Ariful;Rifat, Rakib Hossain;Das, Laxmi Rani;Talukder, Sajedul;Alam, Syed Bahauddin;Gupta, Kishor Datta
通讯作者：
Gupta, Kishor Datta

Implementing a Smart City Digital Twin Using the RAPIDS Architecture

使用 RAPIDS 架构实施智能城市数字孪生