EAGER: SaTC: CORE: Small: Decentralized Data Assurance by Fair Proof of Work Consensus Federated Ledgers

EAGER:SaTC:核心:小型:通过公平工作证明共识联合账本实现去中心化数据保证

基本信息

  • 批准号:
    2141468
  • 负责人:
  • 金额:
    $ 10万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-10-01 至 2023-09-30
  • 项目状态:
    已结题

项目摘要

Moving toward the fifth-generation (5G) and beyond 5G (B5G) wireless networks envisions a pervasively-deployed and data-driven intelligent edge network integrating machine learning (ML) and artificial intelligence (AI). One of the most attractive features of an intelligent B5G network is to share data among objects to collaboratively make comprehensive decisions and provide better services to people. A huge amount of data is produced and collected by Internet of Things (IoT) connected through the BSG edge networks. Breach of integrity, authentication, or privacy of data may cause disastrous consequences as the dependence of the economy and societies on the security of data also deepen. B5G-based IoT applications must meet highly dynamic and diverse requirements in terms of latency, reliability, data rate, and user-defined performance metrics. In addition, most of the data is locally significant, which is generated, collected, processed on-site or near-site for instant decision making. Transmitting these data to a remote cloud center not only causes unnecessary delays but also wastes precious resources. Instead, there is a need for decentralized, online solutions that can proactively adapt to the B5G edge network dynamics.This project will advance the research frontier of data security in B5G wireless network enabled intelligent edge computing paradigm. Aiming at paving the way to make blockchain an organic part of future intelligent networks, the investigator proposes a novel Federated Ledgers Architecture with fair proof-of-work (PoW) consensus enabled by Miner-twins in the Edge-fog-cloud paradigm (FLAME). Leveraging the Digital Twins (DT) and Microservices architecture, FLAME is a scale-able, decentralized data security solution for highly heterogeneous B5G IoT networks. This project consists of two technical components: (1) a Federated ledgers-based Decentralized Data Management (Fed-DDM) scheme for data assurance in hierarchical edge networks; and (2) a novel edge-fog-cloud Miner-Twins (MinT) architecture to enable a Fair-Mining-as-a-Service (FMaaS) consensus mechanism in heterogeneous blockchain networks at the edge.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.
迈向第五代(5G)和超越5G(B5 G)的无线网络设想了一个集成机器学习(ML)和人工智能(AI)的普遍部署和数据驱动的智能边缘网络。智能B5 G网络最具吸引力的功能之一是在对象之间共享数据,以协同做出全面的决策,并为人们提供更好的服务。通过BSG边缘网络连接的物联网(IoT)产生和收集了大量数据。数据的完整性、认证或隐私的破坏可能会导致灾难性的后果,因为经济和社会对数据安全的依赖也会加深。基于B5 G的物联网应用必须在延迟、可靠性、数据速率和用户定义的性能指标方面满足高度动态和多样化的要求。此外,大多数数据都是本地重要的,这些数据是在现场或附近生成、收集、处理的,用于即时决策。将这些数据传输到远程云中心不仅会造成不必要的延迟,还会浪费宝贵的资源。相反,需要能够主动适应B5 G边缘网络动态的去中心化在线解决方案。该项目将推进B5 G无线网络支持的智能边缘计算范式中的数据安全研究前沿。旨在为使区块链成为未来智能网络的有机组成部分铺平道路,研究人员提出了一种新颖的联合账本架构,该架构具有由边缘-雾-云范式(FLAME)中的Miner-twins实现的公平工作量证明(PoW)共识。利用数字孪生(DT)和微服务架构,FLAME是一种可扩展的分散式数据安全解决方案,适用于高度异构的B5 G物联网网络。该项目包括两个技术部分:(1)一个基于联邦分类账的分散数据管理(Fed-DDM)方案,用于分层边缘网络中的数据保证;以及(2)一种新的边缘雾云Miner-Twins(MinT)架构,以实现公平采矿即服务(FMaaS)边缘异构区块链网络中的共识机制。该奖项反映了NSF的法定使命,并被认为值得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。

项目成果

期刊论文数量(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
SAUSA: Securing Access, Usage, and Storage of 3D Point CloudData by a Blockchain-Based Authentication Network
  • DOI:
    10.3390/fi14120354
  • 发表时间:
    2022-11
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
    Ronghua Xu;Yu Chen;Genshe Chen;Erik Blasch
  • 通讯作者:
    Ronghua Xu;Yu Chen;Genshe Chen;Erik Blasch
A Secure Dynamic Edge Resource Federation Architecture for Cross-Domain IoT Systems
跨域物联网系统的安全动态边缘资源联合架构
A Digital Healthcare Service Architecture for Seniors Safety Monitoring in Metaverse
LightMAN: A Lightweight Microchained Fabric for Assurance- and Resilience-Oriented Urban Air Mobility Networks
LightMAN:用于保障和弹性的城市空中交通网络的轻量级微链结构
  • DOI:
    10.3390/drones6120421
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    4.8
  • 作者:
    Xu, Ronghua;Wei, Sixiao;Chen, Yu;Chen, Genshe;Pham, Khanh
  • 通讯作者:
    Pham, Khanh
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Yu Chen其他文献

Sinomenine induces apoptosis of prostate cancer cells by blocking activation of NF-kappa B
青藤碱通过阻断 NF-κ B 的激活诱导前列腺癌细胞凋亡
  • DOI:
  • 发表时间:
    2011
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jian Fan;Jian;Yu Chen;H. Fang;B. Lou;Jun;Lifen Zhu;X. Tong
  • 通讯作者:
    X. Tong
Facile Synthesis of Flower-Like AgI/BiOBr Z-Scheme Nanocomposite with Enhanced Photocatalytic Activity for Degradation of 17 alpha-Estradiol (EE2)
轻松合成花状 AgI/BiOBr Z 型纳米复合材料,具有增强的光催化活性,可降解 17 α-雌二醇 (EE2)
  • DOI:
    10.1142/s1793292019500073
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    1.2
  • 作者:
    Lingxin Li;Han Li;Yanju Long;Shan Wang;Yu Chen;Sifeng Zhang;Lulu Wang;Lijun Luo;Fengzhi Jiang
  • 通讯作者:
    Fengzhi Jiang
Lattice Boltzmann modelling of the coupling between charge transport and electrochemical reactions in a solid oxide fuel cell with a patterned anode
具有图案阳极的固体氧化物燃料电池中电荷传输和电化学反应之间耦合的格子玻尔兹曼模型
  • DOI:
    10.1016/j.ijhydene.2019.09.086
  • 发表时间:
    2019-11
  • 期刊:
  • 影响因子:
    7.2
  • 作者:
    Han Xu;Yu Chen;Jun Hyuk Kim;Zheng Dang;Meilin Liu
  • 通讯作者:
    Meilin Liu
A semi-analytical algorithm for deriving the particle size distribution slope of turbid inland water based on OLCI data: a case study in Lake Hongze
基于OLCI数据推导内陆浑浊水体粒径分布斜率的半解析算法——以洪泽湖为例
  • DOI:
    10.1016/j.envpol.2020.116288
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    8.9
  • 作者:
    Shaohua Lei;Jie Xu;Yunmei Li;Lin Li;Heng Lyu;Ge Liu;Yu Chen
  • 通讯作者:
    Yu Chen
Evaluating emergency response capacity of chemical industrial park using hybrid fuzzy AHP method
混合模糊AHP法评价化工园区应急能力

Yu Chen的其他文献

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{{ truncateString('Yu Chen', 18)}}的其他基金

Collaborative Research: Broadening Inclusive Participation in Artificial Intelligence Undergraduate Education for Social Good Using A Situated Learning Approach
合作研究:利用情景学习方法扩大人工智能本科教育的包容性参与以造福社会
  • 批准号:
    2142783
  • 财政年份:
    2022
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
CAREER: Levelling the Playing Field in STEM: Post-transfer Success for Underrepresented Racial Minority Community College Transfers
职业:在 STEM 领域创造公平的竞争环境:少数族裔社区大学转学后取得成功
  • 批准号:
    2145520
  • 财政年份:
    2022
  • 资助金额:
    $ 10万
  • 项目类别:
    Continuing Grant
Collaborative Research: SHINE: Investigation of Mini-filament Eruptions and Their Relationship with Small Scale Magnetic Flux Ropes in Solar Wind
合作研究:SHINE:研究太阳风中的微型细丝喷发及其与小规模磁通量绳的关系
  • 批准号:
    2229065
  • 财政年份:
    2022
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
EAGER: SaTC: SAVED: Secure Audio and Video Data from Deepfake Attacks Leveraging Environmental Fingerprints
EAGER:SaTC:SAVED:利用环境指纹保护音频和视频数据免遭 Deepfake 攻击
  • 批准号:
    2039342
  • 财政年份:
    2020
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
Standardized Testing of Adult NIRS Oximetry Sensors using a Modular Phantom and Closed-loop Controlled Saturation System
使用模块化体模和闭环控制饱和系统对成人 NIRS 血氧传感器进行标准化测试
  • 批准号:
    1935845
  • 财政年份:
    2020
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
Standardized Testing of Adult NIRS Oximetry Sensors using a Modular Phantom and Closed-loop Controlled Saturation System
使用模块化体模和闭环控制饱和系统对成人 NIRS 血氧传感器进行标准化测试
  • 批准号:
    2019254
  • 财政年份:
    2020
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
A new tool for rapid RNA detection in single cells
一种快速检测单细胞 RNA 的新工具
  • 批准号:
    BB/S018700/1
  • 财政年份:
    2019
  • 资助金额:
    $ 10万
  • 项目类别:
    Research Grant
Standardized Performance Testing of Multispectral Reflectance Oximetry Imaging (MROI) in Emerging Device Platforms
新兴设备平台中多光谱反射血氧成像 (MROI) 的标准化性能测试
  • 批准号:
    1743660
  • 财政年份:
    2018
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
NSF/FDA Scholar In Residence: Quantitative Characterization of Near-infrared Fluorescence Molecular Imaging Systems: 3D-printed Biomimetic Phantoms and In vivo Validation
NSF/FDA 常驻学者:近红外荧光分子成像系统的定量表征:3D 打印的仿生体模和体内验证
  • 批准号:
    1641077
  • 财政年份:
    2017
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
NSF/FDA SIR: 3D-printed Biomimetic Phantoms for Near-Infrared Spectroscopy System Performance Testing
NSF/FDA SIR:用于近红外光谱系统性能测试的 3D 打印仿生模型
  • 批准号:
    1542063
  • 财政年份:
    2016
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant

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