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

SaTC：核心：媒介：协作：物联网的安全分布式编码计算：信息论和网络方法

基本信息

批准号：
1801630
负责人：
Salim El Rouayheb
金额：
$ 80万
依托单位：
Rutgers University New Brunswick
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-07-15 至 2024-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1801630&HistoricalAwards=false
关键词：
SaTC CORE Medium Collaborative Secure

项目摘要

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.

物联网（IoT）正在作为一种新的Internet范式出现，该范式连接了数量的智能IoT设备和传感器。物联网应用程序包括智能城市，运输系统，移动医疗保健和智能电网，仅举几例。解锁物联网的全部功能需要通过通常在云中运行的计算密集型算法来分析和处理IoT设备收集的大量数据。这使IoT网络及其支持的应用程序（敌人，敌人，黑客等）或自然灾害（飓风，地震等）的完全摆布，可能会危及IoT，或者完全使其与它的“大脑”（云）完全脱节，并具有潜在的灾难性后果。 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.该项目代表了创建统一框架以研究安全编码计算方案的首次尝试，除了在编码数据上提供可靠且安全的计算外，该计划还满足了物联网的具体挑战。拟议的研究的重点是（i）设计具有低计算复杂性的安全代码和算法，这些算法与通常以低计算能力，带宽，电池和存储为特征的物联网设备上实现。我们的方法将基于信息理论安全，该信息提供了高度复杂性同态加密方法的有利可图的替代方案。（ii）开发网络算法和协议，以使我们的安全编码计算框架适应物联网设备的异质和动态性质；（iii）使用IoT设备构建移动医疗保健监控框架来验证所提出的安全代码和算法的可行性。该项目还将教育和外展工作与专注于科学，技术，工程和数学（STEM）领域的少数群体群体。此外，它还包括在Rutgers Winlab上为本科生提供指导旅行的机会以及可能在IOT中的理论和系统方面进行的研讨会。该奖项反映了NSF的法定任务，并被认为是通过该基金会的知识分子功能和广泛的影响来评估Criteria的智力优点和广泛影响。

项目成果

期刊论文数量（17）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Stealthy Backdoor Attack on RF Signal Classification

DOI：
10.1109/icccn58024.2023.10230152
发表时间：
2023-07
期刊：
2023 32nd International Conference on Computer Communications and Networks (ICCCN)
影响因子：
0
作者：
Tianming Zhao;Zijie Tang;Tian-Di Zhang;Huy Phan;Yan Wang;Cong Shi;Bo Yuan;Ying Chen
通讯作者：
Tianming Zhao;Zijie Tang;Tian-Di Zhang;Huy Phan;Yan Wang;Cong Shi;Bo Yuan;Ying Chen

DSAG: A Mixed Synchronous-Asynchronous Iterative Method for Straggler-Resilient Learning

DOI：
10.1109/tcomm.2022.3227286
发表时间：
2021-11
期刊：
IEEE Transactions on Communications
影响因子：
8.3
作者：
A. Severinson;E. Rosnes;S. E. Rouayheb;A. G. Amat
通讯作者：
A. Severinson;E. Rosnes;S. E. Rouayheb;A. G. Amat

Field Trace Polynomial Codes for Secure Distributed Matrix Multiplication

DOI：
10.1109/redundancy52534.2021.9606447
发表时间：
2021-01-01
期刊：
2021 XVII International Symposium "Problems of Redundancy in Information and Control Systems" (REDUNDANCY)
影响因子：
0
作者：
Machado, Roberto Assis;D'Oliveira, Rafael G. L.;Heinlein, Daniel
通讯作者：
Heinlein, Daniel

Private Weighted Random Walk Stochastic Gradient Descent