Network Intrusion Detection System (NIDS) using Deep Learning

Overview

This project aims to implement a Network Intrusion Detection System (NIDS) using various machine learning algorithms. The goal is to detect and classify network intrusions based on the analysis of network traffic data.

Algorithms Implemented

1. Logistic Regression:

2. Random Forest:

3. Decision Trees:

4. Naïve Bayes:

5. Support Vector Machine (SVM):

6. K-Nearest Neighbors (KNN):

7. Convolutional Neural Networks (CNN):

8. Long Short-Term Memory (LSTM) Networks: