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

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。

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.