Blanco-Medina, P.;                     Fidalgo, E.;                     Alegre, E.;                     Vasco-Carofilis, R.A.;                     Jañez-Martino, F.;                     Villar, V.F.    
        Detecting Vulnerabilities in Critical Infrastructures by Classifying Exposed Industrial Control Systems Using Deep Learning. Appl. Sci. 2021, 11, 367.
    https://doi.org/10.3390/app11010367
    AMA Style
    
                                Blanco-Medina P,                                 Fidalgo E,                                 Alegre E,                                 Vasco-Carofilis RA,                                 Jañez-Martino F,                                 Villar VF.        
                Detecting Vulnerabilities in Critical Infrastructures by Classifying Exposed Industrial Control Systems Using Deep Learning. Applied Sciences. 2021; 11(1):367.
        https://doi.org/10.3390/app11010367
    
    Chicago/Turabian Style
    
                                Blanco-Medina, Pablo,                                 Eduardo Fidalgo,                                 Enrique Alegre,                                 Roberto A. Vasco-Carofilis,                                 Francisco Jañez-Martino,                                 and Victor Fidalgo Villar.        
                2021. "Detecting Vulnerabilities in Critical Infrastructures by Classifying Exposed Industrial Control Systems Using Deep Learning" Applied Sciences 11, no. 1: 367.
        https://doi.org/10.3390/app11010367
    
    APA Style
    
                                Blanco-Medina, P.,                                 Fidalgo, E.,                                 Alegre, E.,                                 Vasco-Carofilis, R. A.,                                 Jañez-Martino, F.,                                 & Villar, V. F.        
        
        (2021). Detecting Vulnerabilities in Critical Infrastructures by Classifying Exposed Industrial Control Systems Using Deep Learning. Applied Sciences, 11(1), 367.
        https://doi.org/10.3390/app11010367