REU Site: Security for Emerging Networks in Energy and Intelligent Transportation Systems

REU 网站：能源和智能交通系统新兴网络的安全

• 批准号: 2244371
• 负责人: Ahmad Alsharif
• 金额: $ 35万
• 依托单位: University of Alabama Tuscaloosa
• 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: 2023-03-01 至 2026-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2244371&HistoricalAwards=false
• 关键词: REU; Site; Security; Emerging; Networks

This funding establishes a new Research Experiences for Undergraduates (REU) Site at the University of Alabama (UA) to address the security challenges and privacy concerns of emerging networks in energy and intelligent transportation systems in smart cities. A smart city is a framework, predominantly utilizing information and communication technologies, to develop, deploy, and promote sustainable development practices to address growing urbanization challenges. With the advances in computing resources, sensing capabilities, and wireless technologies, traditional networks in different sectors in smart cities, e.g., energy and transportation, are being evolved into emerging networks to make smart cities a reality. Emerging networks will allow real-time flow of enormous amounts of data, and thus, these networks have the potential to open various vulnerabilities and threats that include unauthorized device/network access, location tracking, false data injection, impersonation, data modification, sensor attacks, jamming, spoofing, etc. Furthermore, although there is a need for a growing, qualified, and dedicated cybersecurity workforce to ensure the secure, privacy-protected, reliable, and effective operation of these emerging networks, higher education is not keeping up with the increasing demand for future cybersecurity workforce. Motivated by the security challenges and the need for cybersecurity workforce, this REU site will host a diverse group of undergraduate students at UA to offer cutting-edge research and development activities in the area of cybersecurity for energy and intelligent transportation systems to support various objectives and ensure that as a nation we are not only ahead of the adversaries, but also well-prepared to combat any cyber threat that stems from the emerging networks in smart cities.The proposed project will introduce practical innovations and mechanisms to address the security and privacy issues in smart/micro grid communication networks, sustainable internet of things (IoT) networks, electric mobility, and vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication networks in connected vehicle environments. The intellectual merit of the projects includes (i) secure communication protocol design for emerging networks such as microgrid networks and V2V networks; (ii) achieving secure computation over encrypted data; (iii) combining applied cryptography with various machine learning and data analytics techniques to address the unique security challenges in these emerging networks; and (iv) attack modeling, detection and mitigation for different networks including smart grid communication networks, sustainable IoT networks, V2V and V2I communication networks, and electric mobility services. This REU site will provide the students the familiarity with applied cryptography and machine learning, which could build a strong foundation for early-career student researchers. This REU site will not only provide the necessary undergraduate research environment, especially for female and minority students, but also contribute to the development of a diverse and technologically skilled cybersecurity workforce.This project is jointly funded by CISE and the Established Program to Stimulate Competitive Research (EPSCoR).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.

这笔资金在阿拉巴马大学 (UA) 建立了一个新的本科生研究体验 (REU) 站点，以解决智能城市中能源和智能交通系统新兴网络的安全挑战和隐私问题。智慧城市是一个主要利用信息和通信技术来开发、部署和促进可持续发展实践以应对日益严峻的城市化挑战的框架。随着计算资源、传感能力和无线技术的进步，智慧城市中能源、交通等不同领域的传统网络正在向新兴网络演进，使智慧城市成为现实。新兴网络将允许大量数据实时流动，因此，这些网络有可能引发各种漏洞和威胁，包括未经授权的设备/网络访问、位置跟踪、虚假数据注入、冒充、数据修改、传感器攻击此外，尽管需要不断增长的、合格的、专注的网络安全劳动力来确保这些新兴网络的安全、隐私保护、可靠和有效运行，但高等教育却跟不上对未来日益增长的需求网络安全劳动力。出于安全挑战和网络安全劳动力需求的推动，该 REU 站点将接待 UA 的各类本科生，提供能源和智能交通系统网络安全领域的前沿研究和开发活动，以支持各种目标和确保作为一个国家，我们不仅领先于对手，而且做好充分准备，应对智慧城市新兴网络带来的任何网络威胁。拟议项目将引入实用的创新和机制来解决安全和隐私问题在智能/微电网中通信网络、可持续物联网 (IoT) 网络、电动汽车以及互联车辆环境中的车对车 (V2V) 和车对基础设施 (V2I) 通信网络。 这些项目的智力优势包括（i）针对微电网和V2V网络等新兴网络的安全通信协议设计； (ii) 实现加密数据的安全计算； (iii) 将应用密码学与各种机器学习和数据分析技术相结合，以应对这些新兴网络中独特的安全挑战； (iv) 针对不同网络的攻击建模、检测和缓解，包括智能电网通信网络、可持续物联网网络、V2V 和 V2I 通信网络以及电动移动服务。该 REU 网站将使学生熟悉应用密码学和机器学习，这可以为早期职业学生研究人员奠定坚实的基础。该 REU 站点不仅将提供必要的本科生研究环境，特别是针对女性和少数族裔学生，还将有助于培养多元化且技术熟练的网络安全劳动力。该项目由 CISE 和刺激竞争性研究既定计划共同资助(EPSCoR)。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。