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Modelado de la falla en cascada en el complejo CPSS para informar la seguridad de la misión resiliente: un estudio de
Theresa Sobb1, Benjamin Turnbull1
1School of Systems and Computing, University of New South Wales at the Australian Defence Force Academy, Campbell, ACT 2612, Australia.
Entropy (Basel, Switzerland)
|August 28, 2025
Resumen
Los sistemas de transporte inteligentes (STI) son sistemas cibernéticos físicos y sociales complejos que son vulnerables a los ataques cibernéticos. Este estudio modela las fallas en cascada en los STI, revelando nodos críticos y la importancia de los factores sociales para la resiliencia.
Área de la Ciencia:
- Sistemas cibernético-físicos y sociales
- Sistemas de transporte inteligentes
- Resiliencia del sistema
Sus antecedentes:
- Los sistemas de transporte inteligentes (STI) son sistemas complejos de sistemas que incluyen nodos cibernéticos, físicos y sociales.
- Estos sistemas ofrecen ganancias de eficiencia, pero se enfrentan a amenazas como ataques cibernéticos y interrupciones de la red.
- Los comportamientos emergentes en los sistemas cibernéticos-físicos-sociales complejos (C-CPSS) pueden interrumpir los servicios críticos.
Objetivo del estudio:
- Diseñar e implementar un modelo programático para simular y analizar fallas en cascada en los C-CPSS.
- Validar el valor de dichas simulaciones para comprender las vulnerabilidades del sistema.
- Identificar los nodos críticos y las vías de percolación de fallos dentro del STI.
Principales métodos:
- Desarrollo de un modelo programático para la simulación de fallos en cascada.
- Prueba del modelo con un escenario de sistema de transporte inteligente C-CPSS.
- Análisis de los resultados de la simulación para identificar los componentes críticos del sistema y la propagación de fallas.
Principales resultados:
- El modelo identificó con éxito los nodos críticos y la percolación de consecuencias durante los fallos cibernéticos simulados.
- Los resultados subrayan la importancia de incluir nodos sociales para obtener resultados precisos de simulación.
- Comprender las interdependencias entre los nodos cibernéticos, físicos y sociales es crucial para la resiliencia.
Conclusiones:
- La simulación de fallos en cascada es valiosa para mejorar la resiliencia de los sistemas de transporte inteligentes.
- El modelado preciso de los C-CPSS requiere la integración de los componentes del sistema social.
- El fortalecimiento de los STI contra fallos en cascada es imprescindible para la garantía de la misión y los servicios sociales.
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