Herramienta de disección de tramas para protocolos IoT
Contenido principal del artículo
- Diego Narciandi-Rodríguez+−
- Jose Aveleira-Mata+−
- Alicia Merayo Corcoba+−
- Manuel Rubiños+−
- Paula Arcano-Bea+−
- Héctor Alaiz-Moretón+−
Resumen
Desde hace unos años la aparición y uso de dispositivos IoT (Internet de las Cosas), los cuales destacan por el uso de protocolos ligeros debido a su baja carga computacional, hace que surgan nuevos vectores de ataque en en los sistemas con dispositivos IoT. Es por ello que es necesario entrenar y desarrollar modelos de aprendizaje automático a partir de datos reales, que se implementen en sistemas de deteccion de intrusiones (IDS). Aquí es donde intervienen los datasets los cuales posibilitan esta actividad gracias al desarrollo efectivo de estos modelos. En este trabajo se presenta el desarrollo de un disector de tramas que facilita la generación datasets específicos para los diferentes protocolos IoT existentes que sean útiles para crear modelos de aprendizaje automático a partir de los mismos.
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