CISE-MSI: RCBP-ED: CNS: MBARKA: A Multi-tier Basic Architecture for fault-toleRant and K-secure IoT-based Autonomous campus monitoring systems

CISE-MSI：RCBP-ED：CNS：MBARKA：用于容错和 K-secure 基于物联网的自主校园监控系统的多层基本架构

• 批准号: 2219785
• 负责人: HABIB AMMARI
• 金额: $ 40万
• 依托单位: Texas A&M University-Kingsville
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2219785&HistoricalAwards=false
• 关键词: CISE; MSI; RCBP; ED; CNS

This research project focuses on the analysis, design, and development of energy-efficient, optimized, fault-tolerant, and secure Internet of Things (IoT) for the deployment of monitoring systems, and particularly, campus monitoring systems. It aims at establishing a solid theoretical foundation to build such systems using a combination of computational geometry techniques, which are based on graph models and convex polyhedra, and cryptography techniques. The former techniques help address the problems of coverage and data gathering and delivery in these IoT-based systems, while the latter ones help cope with the existence of injected bad sensors. This theoretical foundation for fault-tolerant and secure monitoring systems enables the development of a TAMUK campus monitoring system with a special focus on campus people traffic monitoring.This project helps recruit, train, and mentor underrepresented minority students and female students in science, technology, engineering, and mathematics (STEM) disciplines, which gives them exposure to the theory and practice that support the design and development of fault-tolerant and secure IoT-based campus monitoring systems. In particular, it allows the students to get exposure to various concepts related to polyhedral space-fillers, graph theoretical approaches, cryptography techniques, and real sensor deployment. This research project helps integrate research and education via the development of curriculum and resources for teaching, thus expanding access to advanced higher education to a broader spectrum of undergraduate and graduate students. Furthermore, this theoretical foundation can serve as the basis for building a unified fault-tolerant and secure IoT-based campus monitoring systems, including environment, building energy, facility, and road traffic. This theoretical foundation can also help build cost-effective, fault-tolerant, secure IoT-based monitoring systems of national importance, such as U.S. boarder surveillance. The findings and results of this research project can be disseminated using local, national, and international conferences, and also published in prestigious and highly reputed journals, such as ACM Transactions and IEEE Transactions.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.

本研究项目致力于分析、设计和开发节能、优化、容错和安全的物联网(IoT)，用于部署监控系统，特别是校园监控系统。它的目的是建立坚实的理论基础，使用基于图模型和凸多面体的计算几何技术和密码学技术的组合来建立这样的系统。前一种技术有助于解决这些基于物联网的系统中的覆盖和数据收集与交付问题，而后一种技术有助于应对注入不良传感器的存在。这种容错和安全监控系统的理论基础使TAMUK校园监控系统的开发能够特别关注校园人员流量监控。该项目帮助招收、培训和指导科学、技术、工程和数学(STEM)学科中代表性不足的少数族裔学生和女学生，使他们接触到支持基于物联网的容错和安全校园监控系统设计和开发的理论和实践。特别是，它允许学生接触到与多面体空间填充、图论方法、密码学技术和实际传感器部署相关的各种概念。这一研究项目通过开发课程和教学资源，帮助将研究和教育结合起来，从而扩大了接受高等教育的机会，使更多的本科生和研究生能够接受高等教育。此外，该理论基础可以作为构建基于物联网的统一容错和安全的校园监控系统的基础，包括环境、建筑能源、设施和道路交通。这一理论基础还可以帮助构建具有国家重要性的经济高效、容错、安全的物联网监控系统，例如美国边境监控。这项研究项目的发现和结果可以通过地方、国家和国际会议传播，也可以发表在著名的和高声誉的期刊上，如ACM会刊和IEEE会刊。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。