SaTC: CORE: Medium: Collaborative: Secure Distributed Coded Computations for IoT: An Information Theoretic and Network Approach

物联网（IoT）正在成为一种新的互联网范式，连接数量呈指数增长的智能IoT设备和传感器。物联网应用包括智能城市、交通系统、移动的医疗保健和智能电网等。释放物联网的全部力量需要通过通常在云中运行的计算密集型算法分析和处理物联网设备收集的大量数据。这使得物联网网络及其支持的应用程序完全受到对手（敌国，黑客等）的摆布，或自然灾害（飓风、地震等），这可能会危及物联网，或将其与其“大脑”（云）完全断开，从而带来潜在的灾难性后果。 本研究旨在通过允许数据由物联网设备在本地处理来解决物联网依赖云计算的安全挑战。我们的方法基于编码计算的新理论，研究擦除和纠错码的设计，通过“智能”数据冗余来提高分布式算法的性能。该项目是首次尝试创建一个统一的框架来研究安全编码计算方案，除了提供可靠和安全的编码数据计算外，还可以满足物联网的特定挑战。拟议研究的重点是（i）设计具有低计算复杂度的安全代码和算法，这些代码和算法适合在物联网设备上实现，这些设备通常具有低计算能力，带宽，电池和存储的特点。我们的方法将基于信息理论的安全性，提供了一个有利可图的替代高复杂性的同态加密方法;（ii）开发网络算法和协议，使我们的安全编码计算框架适应物联网设备的异构性和动态性;（iii）通过使用物联网设备构建一个移动的医疗监控框架，验证所提出的安全代码和算法的可行性。该项目还包括教育和外联工作，重点是科学、技术、工程和数学领域的少数群体。此外，该奖项还包括在罗格斯大学WINLAB为本科生提供的图尔斯导游和实习机会，以及一个专注于物联网安全理论和系统方面的研讨会。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。

The Internet of Things (IoT) is emerging as a new Internet paradigm connecting an exponentially increasing number of smart IoT devices and sensors. IoT applications include smart cities, transportation systems, mobile healthcare and smart grid, to name a few. Unlocking the full power of IoT requires analyzing and processing large amounts of data collected by the IoT devices through computationally intensive algorithms that are typically run in the cloud. This leaves the IoT network, and the applications it is supporting, at the complete mercy of an adversary (enemy nations, hackers, etc.), or a natural disaster (hurricane, earthquake, etc.), that can jeopardize the IoT, or completely disconnect it from its "brain" (the cloud), with potentially catastrophic consequences. This research studies Secure Coded Computations aimed at addressing the security challenges of IoT dependence on the cloud for computations by allowing data to be processed locally by IoT-devices that collaborate together to compute.Our approach is based on the new theory of coded computations, which studies the design of erasure and error-correcting codes to improve the performance of distributed algorithms through "smart" data redundancy. This project represents the first attempt to create a unified framework to study schemes for secure coded computations that, in addition to providing reliable and secure computations on coded data, cater to the specific challenges of IoT. The focus of the proposed research is on (i) devising secure codes and algorithms with low computational complexity that are amenable to implementation on IoT devices typically characterized by low computation power, bandwidth, battery, and storage. Our approach will be based on information theoretic security that presents a lucrative alternative to high complexity homomorphic encryption methods; (ii) developing networking algorithms and protocols to make our secure coded computation framework adaptive to the heterogeneous and dynamic nature of IoT devices; (iii) validating the feasibility of the proposed secure codes and algorithms by building a mobile healthcare monitoring framework using IoT devices. The project also incorporates educational and outreach efforts with a focus on minority groups in Science, Technology, Engineering and Mathematics (STEM). In addition, it includes opportunities for guided tours and possible internships at Rutgers WINLAB for undergraduate students, and a workshop that focuses on theoretical and systems aspects of security in IoT.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.