The increasing digitalization of electrical substations, enabled by IEC 61850-based architectures, has improved operational efficiency while expanding the cyber attack surface. This paper introduces a standards-aligned cybersecurity risk mitigation model specifically designed for digital substations and mapped to representative attack scenarios. The model integrates preventive, detective, and application-level controls derived from NIST SP 800-82r3, IEC 62443, and ISO/IEC 27019, and is validated in a laboratory process-bus environment. A baseline risk assessment identified four high-risk scenarios in the studied digital substation architecture. For validation, a selected subset of controls was experimentally evaluated against two representative attack vectors, namely false data injection (FDI) on GOOSE messages and denial-of-service (DoS) against PTP synchronization. For the remaining scenarios, the post-mitigation effects were reassessed analytically based on control coverage, architectural exposure, and standards-aligned cybersecurity reasoning. The experimental validation demonstrated that both empirically tested high-risk scenarios (FDI on GOOSE and DoS on PTP) were effectively mitigated, reducing their residual risk to moderate and low levels, respectively. For the remaining two scenarios, a post-mitigation analytical reassessment based on control coverage and architectural exposure suggested a consistent risk reduction trend, although without direct experimental confirmation. Under this combined empirical–analytical assessment, the number of high-risk scenarios decreased from four to one, corresponding to a 50% experimentally validated reduction in high-risk exposure, complemented by an analytical reassessment of the remaining scenarios. These results provide quantitative evidence about the effectiveness of the model, even with partial implementation. The scientific contribution of this study lies in integrating multistandard cybersecurity requirements into an operational mitigation model tailored to IEC 61850 substations, combined with experimental risk quantification in a realistic process-bus testbed. The proposed model offers practical guidance for utilities and establishes a scalable foundation for advancing cybersecurity in critical power infrastructure.

En la actualidad, el incremento de las investigaciones en las universidades consumen altos recursos de procesamiento y almacenamiento, generando la necesidad de tener una infraestructura de supercomputación. Este trabajo tiene como objetivo dar una solución a los problemas de almacenamiento que surgen en los diferentes grupos de investigación de una universidad, tal como la Universidad Industrial de Santander (Colombia) entidad que financia este proyecto. Implementando una infraestructura de almacenamiento masivo usando un sistema de archivos compatible con el middleware de EGEE (The Enabling Gridsfor E-science), aprovechando el uso del espacio de disco libre en nodos de trabajo, ofreciendo así una solución a un bajo costo. Además, se presenta la implementación de un clúster con los servicios fundamentales para Grid y así poder integrarlo a la infraestructura intercontinental de EELA-2 (E-science Grid facility for Europe and Latin America), estableciendo una plataforma distribuida de procesamiento y almacenamiento, para el uso de la comunidad científica de una universidad.