Monitoring of a network under DDoS attack for Machine Learning model validation
The study seeks to validate a machine learning model which is trained to predict cyber attacks. During the process, different tools were installed to monitor the network, process the information captured and extract data in two different environments: network when it was not under attack and network...
- Autores:
-
Barrera Pérez, Carlos Eduardo
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2022
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/13912
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/13912
https://utb.alma.exlibrisgroup.com/view/delivery/57UTB_INST/1232689440005731
- Palabra clave:
- Machine Learning
DDoS attack
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
