Multi-Agent Optimization for Safety Analysis of Cyber-Physical Systems: Position Paper
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arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Acceso en línea: | |
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| _version_ | 1866911812298997760 |
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| author | Gürcan, Önder Yakymets, Nataliya Tucci-Piergiovanni, Sara Radermacher, Ansgar |
| author_facet | Gürcan, Önder Yakymets, Nataliya Tucci-Piergiovanni, Sara Radermacher, Ansgar |
| contents | Failure Mode, Effects and Criticality Analysis (FMECA) is one of the safety analysis methods recommended by most of the international standards. The classical FMECA is made in a form of a table filled in either manually or by using safety analysis tools. In both cases, the design engineers have to choose the trade-offs between safety and other development constraints. In the case of complex cyber-physical systems (CPS) with thousands of specified constraints, this may lead to severe problems and significantly impact the overall criticality of CPS. In this paper, we propose to adopt optimization techniques to automate the decision making process conducted after FMECA of CPS. We describe a multi-agent based optimization method which extends classical FMECA for offering optimal solutions in terms of criticality and development constraints of CPS. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_16904 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Multi-Agent Optimization for Safety Analysis of Cyber-Physical Systems: Position Paper Gürcan, Önder Yakymets, Nataliya Tucci-Piergiovanni, Sara Radermacher, Ansgar Artificial Intelligence Cryptography and Security Failure Mode, Effects and Criticality Analysis (FMECA) is one of the safety analysis methods recommended by most of the international standards. The classical FMECA is made in a form of a table filled in either manually or by using safety analysis tools. In both cases, the design engineers have to choose the trade-offs between safety and other development constraints. In the case of complex cyber-physical systems (CPS) with thousands of specified constraints, this may lead to severe problems and significantly impact the overall criticality of CPS. In this paper, we propose to adopt optimization techniques to automate the decision making process conducted after FMECA of CPS. We describe a multi-agent based optimization method which extends classical FMECA for offering optimal solutions in terms of criticality and development constraints of CPS. |
| title | Multi-Agent Optimization for Safety Analysis of Cyber-Physical Systems: Position Paper |
| topic | Artificial Intelligence Cryptography and Security |
| url | https://arxiv.org/abs/2403.16904 |