Secure Ontologies for IoT Systems (SOFIoTS)

研究主题：网络安全和物联网SOfIoT项目旨在了解和开发现有工业物联网（IIoT）网络本体的网络安全属性，以包括边缘的机器学习。该项目的计划成果将产生出版物，可在此基础上进行进一步的学术奋进，同时有助于敏感公共建筑中建筑管理系统（BMS）数据安全和保证的理解和方法。建筑服务与物联网的融合（物联网）和机器学习技术可能会增加组织的网络安全风险，从而影响其底线，造成名誉损害，甚至造成安全问题，导致生命损失。SOfIoTS项目希望通过持续确保适当的网络安全来解决其中的一些问题，以改善使命功能并在BMS中实施本地安全功能。SOfIoTS项目与国家物理实验室（NPL），Cube Controls，RITICS，4D-SIG和PETRAS SRF 1项目ELLIoTT合作，将对物联网网络本体进行全面审查，以确定安全提供方面的差距，特别是对于工业、建筑物和公用事业控制应用。这将借鉴RITICS和ELLIoTT的经验和审查数据。该项目将着眼于语义传感器网络（SSN）本体（w3.org），包括本地机器学习功能，并提供将抽象表示映射到应用程序的特定“上下文”配置的方法。该项目还将通过RITICS和4D-SIG为英国数字双胞胎计划和英国数字建设中心建立对话，以促进交付和影响。

Research Topic: Cybersecurity and Internet of ThingsThe SOfIoTS project aims to understand and develop cybersecurity attributes for existing Industrial Internet of Things (IIoT) network ontologies to include machine learning at the Edge. The project's planned outcomes will result in publications on which further academic endeavor can be built, whilst contributing to the understanding and methodologies of data security and assurance in Building Management Systems (BMS) in sensitive public buildings.The convergence of building services with IoT (Internet of Things) and machine learning technologies can increase cybersecurity risks for organisations that can impact their bottom line, cause reputational damage and even create safety issues resulting in loss of life. The SOfIoTS project looks to answer some of these issues by consistently assuring appropriate cybersecurity to improve mission functionality and to implement local security features in BMS.The SOfIoTS project, in partnership with National Physical Laboratory (NPL), Cube Controls, RITICS, 4D-SIG and PETRAS SRF1 project, ELLIoTT, will undertake a comprehensive review of IoT Network Ontologies to identify gaps in security provision, particularly with respect to industrial, buildings and utilities control applications. This will draw upon experience and review data from RITICS and ELLIoTT. The project will look at the Semantic Sensor Network (SSN) Ontology (w3.org), to include local machine learning functionality, and to provide methods for mapping abstract representations to specific 'in context' configurations of application. The project will also create a dialogue to promote delivery and impact through RITICS and the 4D-SIG to the UK Digital Twins programme and to the Centre for Digital Built Britain.