Iturbe, E.;                     Arcas, J.;                     Gaminde, G.;                     Rios, E.;                     Toledo, N.    
        Hybrid AI-Based Framework for Generating Realistic Attack-Related Network Flow Data for Cybersecurity Digital Twins. Appl. Sci. 2025, 15, 11574.
    https://doi.org/10.3390/app152111574
    AMA Style
    
                                Iturbe E,                                 Arcas J,                                 Gaminde G,                                 Rios E,                                 Toledo N.        
                Hybrid AI-Based Framework for Generating Realistic Attack-Related Network Flow Data for Cybersecurity Digital Twins. Applied Sciences. 2025; 15(21):11574.
        https://doi.org/10.3390/app152111574
    
    Chicago/Turabian Style
    
                                Iturbe, Eider,                                 Javier Arcas,                                 Gabriel Gaminde,                                 Erkuden Rios,                                 and Nerea Toledo.        
                2025. "Hybrid AI-Based Framework for Generating Realistic Attack-Related Network Flow Data for Cybersecurity Digital Twins" Applied Sciences 15, no. 21: 11574.
        https://doi.org/10.3390/app152111574
    
    APA Style
    
                                Iturbe, E.,                                 Arcas, J.,                                 Gaminde, G.,                                 Rios, E.,                                 & Toledo, N.        
        
        (2025). Hybrid AI-Based Framework for Generating Realistic Attack-Related Network Flow Data for Cybersecurity Digital Twins. Applied Sciences, 15(21), 11574.
        https://doi.org/10.3390/app152111574