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Inicio  /  Applied Sciences  /  Vol: 11 Par: 1 (2021)  /  Artículo
ARTÍCULO
TITULO

Detecting Vulnerabilities in Critical Infrastructures by Classifying Exposed Industrial Control Systems Using Deep Learning

Pablo Blanco-Medina    
Eduardo Fidalgo    
Enrique Alegre    
Roberto A. Vasco-Carofilis    
Francisco Jañez-Martino and Victor Fidalgo Villar    

Resumen

We present a deep-learning-based pipeline to solve a novel problem in Cybersecurity and Industry 4.0. Our proposal, which automatically classifies screenshots of industrial control systems, might support the task of an industrial monitoring tool for detecting vulnerable or exposed industrial control systems on the internet, which might be related to critical infrastructures.

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