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SOfIoTS: ontological framework, demonstration outcomes, and recommendations for further work

SOfIoTS: ontological framework, demonstration outcomes, and recommendations for further work
SOfIoTS: ontological framework, demonstration outcomes, and recommendations for further work
The Secure Ontologies for the Internet of Things (SOfIoTS) project seeks to advance our understanding of the current state-of-the-art in respect of IoT security ontologies. It also aims to extend the current state-of-the-art by specifying an expansible IoT ontological framework that can be integrated with the UK Digital Twin model. The present report summarizes the progress made in respect of these objectives. In particular, we describe how a common upper-level ontology, called Basic Formal Ontology (BFO), can be used to model security concepts, IoT devices, digital twins, IoT data flows, and human factors.
Ontology, Cybersecurity, Internet of Things (IoT), Basic Formal Ontology, Semantic Web, Risk, Trustworthiness, Digital Twin, Active Inference, Predictive Processing
PETRAS National Centre of Excellence
Smart, Paul
cd8a3dbf-d963-4009-80fb-76ecc93579df
Boniface, Michael
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Jarwar, Muhammad Aslam
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Watson, Jeremy
ce2a890a-ced2-47b9-83da-651a5dca1b86
Smart, Paul
cd8a3dbf-d963-4009-80fb-76ecc93579df
Boniface, Michael
f30bfd7d-20ed-451b-b405-34e3e22fdfba
Jarwar, Muhammad Aslam
22464a19-da43-42dd-929f-86b7324ce9b9
Watson, Jeremy
ce2a890a-ced2-47b9-83da-651a5dca1b86

Smart, Paul, Boniface, Michael, Jarwar, Muhammad Aslam and Watson, Jeremy (2023) SOfIoTS: ontological framework, demonstration outcomes, and recommendations for further work London, UK. PETRAS National Centre of Excellence 110pp. (doi:10.5258/SOTON/P1165).

Record type: Monograph (Project Report)

Abstract

The Secure Ontologies for the Internet of Things (SOfIoTS) project seeks to advance our understanding of the current state-of-the-art in respect of IoT security ontologies. It also aims to extend the current state-of-the-art by specifying an expansible IoT ontological framework that can be integrated with the UK Digital Twin model. The present report summarizes the progress made in respect of these objectives. In particular, we describe how a common upper-level ontology, called Basic Formal Ontology (BFO), can be used to model security concepts, IoT devices, digital twins, IoT data flows, and human factors.

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SOfIoTS D4 Reportv2 - Version of Record
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More information

Published date: 28 July 2023
Keywords: Ontology, Cybersecurity, Internet of Things (IoT), Basic Formal Ontology, Semantic Web, Risk, Trustworthiness, Digital Twin, Active Inference, Predictive Processing

Identifiers

Local EPrints ID: 490073
URI: http://eprints.soton.ac.uk/id/eprint/490073
PURE UUID: c6299256-4aba-4d61-95b9-81046ce04004
ORCID for Paul Smart: ORCID iD orcid.org/0000-0001-9989-5307
ORCID for Michael Boniface: ORCID iD orcid.org/0000-0002-9281-6095

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Date deposited: 14 May 2024 16:41
Last modified: 25 May 2024 01:39

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Contributors

Author: Paul Smart ORCID iD
Author: Muhammad Aslam Jarwar
Author: Jeremy Watson

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