NSF REU SITE: ASSET: Advanced Secured Sensor Enabling Technologies

该项目是对佛罗里达国际大学本科生研究经验（REU）网站的更新，该网站专注于与先进的安全传感器技术相关的研究。本科生将与教师合作研究项目，探索新的技术和解决方案，利用传感器网络和协议，软件和硬件解决方案，对安全传感器技术的进步和实际应用至关重要。该研究主题包括一系列研究项目，包括对抗性机器学习攻击，有效的合理否认系统，资源受限的多维区块链，用于保护无处不在系统的漏洞检测框架，用于人类活动识别的强大而安全的无线传感系统，以及利用混合Li-Fi/无线传感器网络进行光互联网。本科生将参与结合智力优势和技术机会的研究。它们将在移动医疗、车辆排队、网络攻击、移动的人群感知和减少数据分析中的偏见方面产生广泛的影响。该计划旨在通过一个激烈的，跨学科的，协作的研究环境的第一手经验，培养学生进入干研究领域。所有活动都促进了学生和教师之间的合作交流，以提高和加速学生的研究技能和学习领域的发展。如果成功，该计划将激励学生继续从事相关的研究工作，建立STEM研究和知识方面的人力资源能力，并增加劳动力的多样性。 该项目结合了传感，计算，通信和网络安全领域，以创造，开发和实施具有创新和重要知识的新传感概念。它开创了核心技术，支持算法，方法，架构和工具包。该计划提供了一个高质量的科学和跨文化的经验，从全国代表性不足的人口群体的动机本科生。它旨在影响他们对继续教育和未来职业的选择，并提高他们追求这些选择的技能和信心。通过针对妇女、少数民族和残疾人等代表性不足的群体的具体招聘工作，该REU计划还旨在增加科学工作者的多样性。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This project is a renewal of a Research Experiences for Undergraduates (REU) Site at Florida International University that focuses on research related to advanced, secured sensor-enabled technologies. Undergraduates will work with faculty on research projects to explore new technologies and solutions utilizing sensor networks and protocols, software, and hardware solutions essential to the advancement and practical application of secure sensor technologies. This research theme includes a range of research projects, including adversarial machine learning attacks, efficient plausible deniability systems, resource-constrained multi-dimensional blockchains, vulnerability detection frameworks for securing ubiquitous systems, robust and secure wireless sensing systems for human activity recognition, and leveraging hybrid Li-Fi/Wireless sensor networks for internet of light. Undergraduates will participate in research that combines intellectual merit and technical opportunities. They will have a broad impact in m–health, vehicle platooning, cyberattacks, mobile crowd-sensing, and reduction of bias in data analytics. The program aims to nurture students into STEM research fields through a firsthand experience of an intense, interdisciplinary, collaborative research environment. All activities foster the development of collaborative communication among students and faculty to enhance and accelerate the students’ research skills and learning in the field. If successful, the program will motivate students to continue relevant research careers, build human capacity in STEM research and knowledge, and increase workforce diversity. This project combines the fields of sensing, computing, communications, and cybersecurity to create, develop, and implement new sensing concepts with innovative and significant knowledge. It pioneers core technologies, supportive algorithms, methods, architectures, and toolkits. The program provides a high-quality scientific and cross-cultural experience to motivated undergraduate students from underrepresented population groups nationwide. It aims to influence their choices about further education and future careers and increase their skills and confidence to pursue these choices. With specific recruiting efforts that target underrepresented groups such as women, minorities, and persons with disabilities, this REU program also aims to increase the diversity of the scientific workforce.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.