# Network-Intrusion-Detection-1

**Repository Path**: robbss/Network-Intrusion-Detection-1

## Basic Information

- **Project Name**: Network-Intrusion-Detection-1
- **Description**: Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 0
- **Created**: 2020-03-13
- **Last Updated**: 2023-10-23

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Modelling Intrusion Detection: Analysis of a Feature Selection Mechanism
Machine Learning with the NSL-KDD dataset for Network Intrusion Detection.
 DecisionTree_IDS.ipynb contains the analysis using Decision Tree Classifier.
 RandomForest_IDS.ipynb Contains the analysis using Random Forest Classifier.
 
 This work aims to verify the work done by Nkiama, Said and Saidu (2016) in: https://thesai.org/Downloads/Volume7No4/Paper_19-A_Subset_Feature_Elimination_Mechanism_for_Intrusion_Detection_System.pdf
 
 ***Disclaimer: Very old project - not state-of-the-art - one of my first experiences with ML as well as python ;)