luciferreeves / Network-Intrusion-Detection

A Comprehensive Approach To Analysis and Detection of Emerging Threats due to Network Intrusion

Network Intrusion Detection

A Comprehensive Approach To Analysis and Detection of Emerging Threats due to Network Intrusion

Required Tools

Some tools are required to run the project.

• RStudio
• WGet

Downloading the Dataset

To download the dataset, use the dataset_downloader.sh script on UNIX, Linux, or MacOS.

$ chmod +x dataset_downloader.sh
$ ./dataset_downloader.sh

To download the dataset, use the dataset_downloader.bat script on Windows.

Starting the Project

To start the project, you need to build the models in RStudio. Run the models.R script in RStudio.

There are 4 models to build:

• Deep Learning Model
• Distributed Random Forest Model
• Gradient Boosting Machine Model
• Naiive Bayes Model

You can add more models to the project by adding them to the models.R script and importing them in the app.R script.

In order to run the R Shiny App, you need to build the project in RStudio. Run the app.R script in RStudio.