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SafeSoCPS: A Composite Safety Analysis Approach for System of Cyber-Physical Systems
The System of Cyber-Physical Systems (SoCPS) comprises several independent Cyber-Physical Systems (CPSs) that interact with each other to achieve a common mission that the individual systems cannot achieve on their own. SoCPS are rapidly gaining attention in various domains, e.g., manufacturing, aut...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9227972/ https://www.ncbi.nlm.nih.gov/pubmed/35746255 http://dx.doi.org/10.3390/s22124474 |
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author | Ali, Nazakat Hussain, Manzoor Hong, Jang-Eui |
author_facet | Ali, Nazakat Hussain, Manzoor Hong, Jang-Eui |
author_sort | Ali, Nazakat |
collection | PubMed |
description | The System of Cyber-Physical Systems (SoCPS) comprises several independent Cyber-Physical Systems (CPSs) that interact with each other to achieve a common mission that the individual systems cannot achieve on their own. SoCPS are rapidly gaining attention in various domains, e.g., manufacturing, automotive, avionics, healthcare, transportation, and more. SoCPS are extremely large, complex, and safety-critical. As these systems are safety-critical in nature, it is necessary to provide an adequate safety analysis mechanism for these collaborative SoCPS so that the whole network of these CPSs work safely. This safety mechanism must include composite safety analysis for a network of collaborative CPS as a whole. However, existing safety analysis techniques are not built for analyzing safety for dynamically forming networks of CPS. This paper introduces a composite safety analysis approach called SafeSoCPS to analyze hazards for a network of SoCPS. In SafeSoCPS, we analyze potential hazards for the whole network of CPS and trace the faults among participating systems through a fault propagation graph. We developed a tool called SoCPSTracer to support the SafeSoCPS approach. Human Rescue Robot System—a collaborative system—is taken as a case study to validate our proposed approach. The result shows that the SafeSoCPS approach enables us to identify 18 percent more general faults and 63 percent more interaction-related faults in a network of a SoCPS. |
format | Online Article Text |
id | pubmed-9227972 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92279722022-06-25 SafeSoCPS: A Composite Safety Analysis Approach for System of Cyber-Physical Systems Ali, Nazakat Hussain, Manzoor Hong, Jang-Eui Sensors (Basel) Article The System of Cyber-Physical Systems (SoCPS) comprises several independent Cyber-Physical Systems (CPSs) that interact with each other to achieve a common mission that the individual systems cannot achieve on their own. SoCPS are rapidly gaining attention in various domains, e.g., manufacturing, automotive, avionics, healthcare, transportation, and more. SoCPS are extremely large, complex, and safety-critical. As these systems are safety-critical in nature, it is necessary to provide an adequate safety analysis mechanism for these collaborative SoCPS so that the whole network of these CPSs work safely. This safety mechanism must include composite safety analysis for a network of collaborative CPS as a whole. However, existing safety analysis techniques are not built for analyzing safety for dynamically forming networks of CPS. This paper introduces a composite safety analysis approach called SafeSoCPS to analyze hazards for a network of SoCPS. In SafeSoCPS, we analyze potential hazards for the whole network of CPS and trace the faults among participating systems through a fault propagation graph. We developed a tool called SoCPSTracer to support the SafeSoCPS approach. Human Rescue Robot System—a collaborative system—is taken as a case study to validate our proposed approach. The result shows that the SafeSoCPS approach enables us to identify 18 percent more general faults and 63 percent more interaction-related faults in a network of a SoCPS. MDPI 2022-06-13 /pmc/articles/PMC9227972/ /pubmed/35746255 http://dx.doi.org/10.3390/s22124474 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ali, Nazakat Hussain, Manzoor Hong, Jang-Eui SafeSoCPS: A Composite Safety Analysis Approach for System of Cyber-Physical Systems |
title | SafeSoCPS: A Composite Safety Analysis Approach for System of Cyber-Physical Systems |
title_full | SafeSoCPS: A Composite Safety Analysis Approach for System of Cyber-Physical Systems |
title_fullStr | SafeSoCPS: A Composite Safety Analysis Approach for System of Cyber-Physical Systems |
title_full_unstemmed | SafeSoCPS: A Composite Safety Analysis Approach for System of Cyber-Physical Systems |
title_short | SafeSoCPS: A Composite Safety Analysis Approach for System of Cyber-Physical Systems |
title_sort | safesocps: a composite safety analysis approach for system of cyber-physical systems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9227972/ https://www.ncbi.nlm.nih.gov/pubmed/35746255 http://dx.doi.org/10.3390/s22124474 |
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