Cyberattacks Predictions Workflow using Machine Learning
Fecha
2021Registro en:
Pérez, C. E. B., Serrano, J. E., & Martinez-Santos, J. C. (2021, December). Cyberattacks Predictions Workflow using Machine Learning. In 2021 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT) (pp. 1-6). IEEE.
10.1109/ICMLANT53170.2021.9690527
Universidad Tecnológica de Bolívar
Repositorio Universidad Tecnológica de Bolívar
Autor
Barrera Pérez, Carlos Eduardo
Serrano, Jairo E.
Martinez-Santos, Juan Carlos
Resumen
This research aims to validate the effectiveness of a machine learning model composed of three classifiers: decision tree, logistic regression, and support vector machines. Through the design of a workflow, we demonstrate the effectiveness of the model. First, we execute a network attack, and then monitoring, processing, storage, visualization, and data transfer tools are implemented to create the most realistic environment possible and obtain more accurate predictions. © 2021 IEEE.