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

• 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

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.

该区域创新发动机开发奖的重点是萨凡纳河沿岸的地区，跨越了佐治亚州和南卡罗来纳州的几个县，该中心位于大奥古斯塔地区。努力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（Lead Institution），佐治亚州网络中心（GCC），佐治亚大学，克拉克·亚特兰大大学（CAU），Augusta技术学院，陆军网络司令部（Arcyber），萨凡纳河国家实验室，佐治亚州调查局（GBI），GBI），TRIDEUMECAIL，BIGBEAR.AI和INSTERNACAL CORLECATION（GBI）。由于主要政府实体的利益，Arcyber在Arcyber中的稳定，该地区在该技术领域的未来NSF发动机的位置很好，奥古斯塔的学术合作伙伴，支持网络安全及其相关领域重要计划的学术合作伙伴以及越来越多的私营公司。目前，当前的服务区域目前具有相对较低的社会经济地位，该奖项可能会对该地区产生变革性的影响。解决方案成本和安全服务的价值正在迅速增加，因此网络安全对国家至关重要。此外，随着计算在我们周围的各种设备中变得无处不在，有一个不断增长的攻击表面可以防御，这意味着要进行重大经济活动的机会。该奖项的组成部分包括：1）使用启发的研究 - 学术合作伙伴与政府和私人机构建立了关系，包括将研究与Arcyber和SRNL的需求保持一致。通过事件和互动以及为当地小企业的学生提供付费实习，将扩大关系，以包括其他政府和私人合作伙伴。 2）劳动力发展 - 重点将是扩大该大学和该地区两年学院现有课程的入学率，在不同的学术伙伴中共享材料以及企业家培训。 3）过渡到实践：合作伙伴（IEDC，CAU和GCC）的优势将用于帮助过渡研究以实践和培养新业务，尤其是对于少数群体和退伍军人。 IEDC进行的经济扫描还将帮助指导未来的行动。合作伙伴之间的拟议集成以及不断增长的劳动力发展和支持企业的协同活动，将在两年内为整个NSF引擎做好准备。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的审查标准通过评估来支持的。

项目成果

Cyber Security Issues in the Industrial Applications of Digital Twins

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

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
• 期刊: 2023 IEEE Symposium Series on Computational Intelligence (SSCI
• 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

Security threats on Data-Driven Approaches for Luggage Screening

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

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
• 期刊: Digital
• 作者: Siddique, Sunzida;Haque, Mohd Ariful;George, Roy;Gupta, Kishor Datta;Gupta, Debashis;Faruk, Md Jobair
• 通讯作者: Faruk, Md Jobair

Multi-sensor Failure Recovery in Aero-Engines Using a Digital Twin Platform: A Case Study

使用数字孪生平台的航空发动机多传感器故障恢复：案例研究

• 发表时间: 2023
• 期刊: Intelligent Computing (SAI 2023
• 作者: A. Manuja, Saurav Anilkumar