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ISAAF: un marco de seguridad y prevención de ataques de IoT que utiliza análisis predictivo impulsado por IA
Khaoula Karam1, Abderrahmane Aqachtoul2, Abderrahmane Elamrani2,3
1College of Engineering and Architecture, LERMALab & TICLab, International University of Rabat, Sala Al Jadida, 11100, Morocco. khaoula.karam@uir.ac.ma.
Scientific reports
|December 29, 2025
Resumen
Un nuevo marco de seguridad impulsado por IA detecta y mitiga eficazmente las amenazas cibernéticas en el Internet de las cosas (IoT). El reentrenamiento de modelos con datos del mundo real mejoró significativamente la precisión de la detección de intrusiones para sistemas críticos de IoT.
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