SYNERGIA - Secure bY desigN End to end platfoRm for larGe scale resource constrained Iot Applications

当代物联网平台通常采用基于云的方法，有些平台在客户端提供可选的后端安装。这种方法意味着需要在云或用户后端传输、处理和存储所有数据点。由于生成的数据量很大，这种设计模式是不可持续的，特别是在依赖于大规模部署的电池供电、资源受限的设备收集数据的应用程序中。将部分计算推到边缘并利用分布式AI可以减轻云基础设施的一些负担，从而降低延迟并提高可扩展性。然而，这带来了新的挑战，需要进一步的行业研究。我们如何在边缘计算节能？我们如何确保这种分布式系统的安全性和弹性，特别是在针对关键基础设施数字化的应用程序中？SYNERGIA将为低功耗资源受限设备的大规模网络设计、开发和演示一种新颖的安全设计、端点到核心物联网平台。该平台将为用户提供边缘分布式处理能力即服务。安全问题将在所有平台层得到解决：资源受限的设备、边缘和后端。为实现这一目标，我们将在物联网系统的可扩展、安全配置管理和控制方面开展行业研发;为电池供电的资源受限设备提供安全连接;为物联网系统的网络安全提供基于边缘的AI。SYNERGIA将利用一个项目合作伙伴目前正在开发的边缘平台。它包括一系列具有传感功能的互连边缘节点和后端，使最终用户能够开发和部署具有分布式边缘处理即服务的应用程序。项目成果将在两个演示活动中以集成方式展示。该项目由全球安全物联网网络提供商（东芝）领导。该团队由物联网设备安全通信方面的英国专家（Ioetec，SME）;物联网系统安全配置管理和控制方面的初创公司（Configured Things，SME）;英国工业人工智能技术领导者（Smartia，SME）。开发应用程序用例并与最终用户进行主要接触的将是多路访问通信有限公司（MAC Ltd，SME），该公司在公共安全，基础设施监控，智能建筑和辅助生活等多个领域设计物联网解决方案方面有着良好的记录。布里斯托大学在物联网网络、网络安全和分布式人工智能方面拥有世界领先的专业知识。

Contemporary IoT platforms typically adopt a cloud-based approach, with some offering optional backend installation at customer premises. This approach implies a requirement to transmit, process and store all data points in the Cloud or user backend. This design pattern is unsustainable due to the volume of data generated, especially in the case of applications that rely on data collected by battery-powered, resource-constrained devices deployed at massively large scale.Pushing some of the computation to the Edge and exploiting distributed AI can alleviate some of the burden from cloud infrastructures, and therefore decrease latency and improve scalability. However, this results in new challenges and a need for further industry research. How can we compute energy-efficiently at the Edge? How do we assure the security and resilience of such distributed systems, especially in the case of applications that target the digitisation of critical infrastructures?SYNERGIA will devise, develop and demonstrate a novel secure-by-design, endpoint-to-core IoT platform for large-scale networks of low-power resource-constrained devices. The platform will provide users with distributed processing capability at the Edge as a service. Security issues will be addressed at all platform tiers: resource-constrained devices, Edge and backend. To achieve this, we will undertake industry R&D on scalable, secure configuration management and control of IoT systems; secure connectivity for battery-powered resource-constrained devices; edge-based AI for cyber security of IoT systems. SYNERGIA will leverage an edge platform currently under development by one of the project partners. It comprises a collection of interconnected edge nodes with sensing capabilities and a backend that enables end users to develop and deploy applications with distributed edge processing as a service.Project outcomes will be showcased in an integrated fashion at two demonstration events. The project is led by a worldwide provider of secure IoT networks (Toshiba). The team consists of UK experts in secure communications for IoT devices (Ioetec, SME); a start-up in secure configuration management and control of IoT systems (Configured Things, SME); a UK leader in industrial AI technology (Smartia, SME). Developing an application use-case and leading engagement with end users will be Multiple Access Communications Limited (MAC Ltd, SME), with a track record of designing IoT solutions in several sectors including public safety, infrastructure monitoring, smart buildings and assisted living. The University of Bristol brings world-leading expertise in IoT networking, cybersecurity and distributed AI.