SOfIoTS

Socio-Technical Security Modelling: Analysis of State-of-the-Art, Application, and Maturity in Critical Industrial Infrastructure Environments/Domains
Uchenna D Ani, Jeremy M Watson, Nilufer Tuptuk, Steve Hailes, Muhammad Aslam Jawar
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Socio-Technical Security Modelling: Analysis of State-of-the-Art, Application, and Maturity in Critical Industrial Infrastructure Environments/Domains
Industrial Internet of Things security modelling using ontological methods
In Proceedings of the 12th International Conference of the Internet of Things, Delft, The Netherlands
Muhammad Aslam Jarwar, Jeremy Watson CBE FREng, Uchenna Daniel Ani, Stuart Chalmers
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Industrial Internet of Things security modelling using ontological methods
Secure ontologies for the Internet of Things: representing risk and security concepts using basic formal ontology
The present report was produced as part of the Secure Ontologies for the Internet of Things (SOfIoTS) project,1 which forms part of the …
Paul Smart, Michael Boniface, Muhammad Aslam Jawar, Jeremy Watson CBE
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Secure ontologies for the Internet of Things: representing risk and security concepts using basic formal ontology
SOfIoTS: Ontological Framework, Demonstration Outcomes, and Recommendations for Further Work (D3/D4)
The Secure Ontologies for the Internet of Things (SOfIoTS) project seeks to advance our understanding of the current state-of-the-art …
Paul Smart, Michael Boniface, Muhammad Aslam Jawar, Jeremy Watson CBE
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SOfIoTS: Ontological Framework, Demonstration Outcomes, and Recommendations for Further Work (D3/D4)
Secure ontologies for IoT Devices: a Review and Gap Analysis
The Internet of Things (IoT) devices are the ears and eyes for Cyber Physical Systems (CPS) and smart applications. The adoption of IoT …
Muhammad Aslam Jawar, Jamie Tooth, Jeremy Watson CBE
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Secure ontologies for IoT Devices: a Review and Gap Analysis
Secure Ontologies for IoT Systems (SOfIoTS)
The 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.
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Secure Ontologies for IoT Systems (SOfIoTS)