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

• 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

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）正在成为连接智能物联网设备和传感器数量呈指数级增长的新互联网范式。物联网应用包括智慧城市、交通系统、移动医疗和智能电网等。释放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所支持的应用完全受对手（敌国、黑客等）或自然灾害（飓风、地震等）的摆布，这些自然灾害可能危及物联网，或者完全断开物联网与“大脑”（云）的连接，从而带来潜在的灾难性后果。本研究研究安全编码计算，旨在通过允许数据由协同计算的物联网设备在本地处理，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，该理论研究了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，除了在编码数据上提供可靠和安全的计算外，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，这些代码和算法适用于通常以低计算能力、带宽、电池和存储为特征的物联网设备。我们的方法将基于信息安全理论，为高复杂性同态加密方法提供一个有利可图的替代方案；（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和动态特性；（iii）通过使用物联网设备构建移动医疗监测框架，验证拟议安全代码和算法的可行性。该项目还包括教育和外联工作，重点关注科学、技术、工程和数学（STEM）领域的少数群体。此外，它还包括为本科生提供导游和可能在罗格斯大学WINLAB实习的机会，以及一个专注于物联网安全理论和系统方面的研讨会。该奖项反映了美国国家科学基金会的法定使命，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。

项目成果

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)
• 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

Private and rateless adaptive coded matrix-vector multiplication

• DOI: 10.1186/s13638-020-01887-y
• 发表时间: 2019-09
• 期刊: EURASIP Journal on Wireless Communications and Networking
• 影响因子: 2.6
• 作者: Rawad Bitar;Yuxuan Xing;Yasaman Keshtkarjahromi;Venkateswara Dasari;Salim el Rouayheb;H. Seferoglu

Private Weighted Random Walk Stochastic Gradient Descent

• DOI: 10.1109/jsait.2021.3052975
• 发表时间: 2020-09
• 期刊: IEEE Journal on Selected Areas in Information Theory
• 作者: Ghadir Ayache;S. E. Rouayheb

Secure Coded Cooperative Computation at the Heterogeneous Edge against Byzantine Attacks

• DOI: 10.1109/globecom38437.2019.9013340
• 发表时间: 2019-08
• 期刊: 2019 IEEE Global Communications Conference (GLOBECOM)
• 作者: Yasaman Keshtkarjahromi;Rawad Bitar;Venkateswara Dasari;S. E. Rouayheb;H. Seferoglu