Baseline experiments on training a Decision Tree Classifier and a Random Forest Classifier using Grid Search with Cross Validation on the CIC IDS 2018 dataset for training Machine Learning network intrusion detection classifier models.

Machine Learning Based - Intrusion Detection System

En este proyecto se evalúan y comparan diferentes técnicas de aprendizaje automático para la detección de intrusiones en red.

Machine learning based network intrusion detection system

Addressing Class Imbalance in CIC-IDS-18. Improve intrusion detection accuracy and reduce false alarms by tackling class imbalance. Utilizing artificial oversampling techniques and comparing their efficacy with deep neural network algorithms.Tech: Python, Jupyter-Notebook, Scik