Resilient Architectures for Critical Infrastructures: A Hybrid Approach Using SoftwareEngineering, AI, and Continuous Monitoring
Resilient Architectures for Critical Infrastructures: A Hybrid Approach Using SoftwareEngineering, AI, and Continuous Monitoring
DOI:
https://doi.org/10.51473/rcmos.v1i8.2021.1243Abstract
This paper presents a hybrid framework for the development of resilient architectures in critical infrastructures, integrating software engineering, artificial intelligence (AI) and continuous monitoring. The proposal addresses interoperability, compliance and scalability challenges in critical systems such as healthcare, telecommunications, transport and energy. The framework is structured on three pillars: resilient software engineering, AI for prediction and mitigation of failures, and continuous monitoring with DevOps practices. A case study in the European public health sector validates the applicability of the model by demonstrating improvements in availability, incident response and regulatory compliance. The article offers technical and strategic guidelines for organizations seeking robustness and innovation in high-critical contexts, aligning with international standards such as NIST and ISO/IEC 27001. The proposed approach is adaptable to different sectors, promoting operational resilience
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Copyright (c) 2021 Ezequias Silva dos Santos (Autor)
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