🤖 AI Summary
Cyber-physical systems of systems (CPSoS) in Industry 4.0 and smart homes face escalating cyber threats and dynamic environmental perturbations, undermining their resilience and operational continuity.
Method: This paper proposes an enhanced cyber-resilience lifecycle framework that integrates systems engineering principles, multi-layered risk assessment, adaptive control, and closed-loop lifecycle management—distinguishing itself from conventional static models through disturbance-aware sensing, dynamic reconfiguration, and continuous evolution capabilities.
Contribution/Results: Empirical validation across multiple representative CPSoS scenarios demonstrates that the framework significantly improves post-attack or post-perturbation recovery speed (average 37% improvement) and operational stability (52% reduction in fault recovery time). It establishes a novel, integrable, and scalable resilience assurance paradigm for large-scale, interconnected CPSoS deployments.
📝 Abstract
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.