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Bibliographic Details
Main Authors: Vogel, Elisabeth, Langendörfer, Peter
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2511.14548
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author Vogel, Elisabeth
Langendörfer, Peter
author_facet Vogel, Elisabeth
Langendörfer, Peter
contents Cyber-physical Systems of Systems (CPSoS) are becoming increasingly prevalent across sectors such as Industry 4.0 and smart homes, where they play a critical role in enabling intelligent, interconnected functionality. Addressing the challenges and resilience requirements of these complex environments, we propose a modified Cyber-Resilience Life-Cycle as a practical framework for sustainable risk mitigation. Our approach enhances the adaptability of CPSoS and supports resilience against evolving system complexities and potential disruptions. We conclude by outlining application scenarios for the modified life-cycle and highlighting its relevance in fostering cyber-resilience in operational systems.
format Preprint
id arxiv_https___arxiv_org_abs_2511_14548
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Enhancing Cyber-Resilience in Cyber-Physical Systems of Systems:A Methodical Approach
Vogel, Elisabeth
Langendörfer, Peter
Computational Engineering, Finance, and Science
Cyber-physical Systems of Systems (CPSoS) are becoming increasingly prevalent across sectors such as Industry 4.0 and smart homes, where they play a critical role in enabling intelligent, interconnected functionality. Addressing the challenges and resilience requirements of these complex environments, we propose a modified Cyber-Resilience Life-Cycle as a practical framework for sustainable risk mitigation. Our approach enhances the adaptability of CPSoS and supports resilience against evolving system complexities and potential disruptions. We conclude by outlining application scenarios for the modified life-cycle and highlighting its relevance in fostering cyber-resilience in operational systems.
title Enhancing Cyber-Resilience in Cyber-Physical Systems of Systems:A Methodical Approach
topic Computational Engineering, Finance, and Science
url https://arxiv.org/abs/2511.14548