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