This repository has three different phases for the development of the NIDS which are dated and stored in separate directories. Kindly read the README files of each one according to your requirements and follow along.
This project uses a raspberry pi zero 2w, ssd1306 oled display, 1602 LCD display for the nids console. This project is excellent for demonstration of a nids for your home network and also for simulation.
- Simple-Python [simplest one, can be run on any dev board. ts just a gimmick]
- Random Forest classifier [using scikit-learn, can be run on the zero 2w board flawlessly]
[NOTE: YOU CAN CHECK OUT THE armata-nids repo link REPOSITORY FROM MY PINS WHICH USES PYTHON3-SCAPY AND NEURAL NETWORK CLASSIFIER FOR THE NIDS DEVELOPMENT. USES MINIMAL HARDWARE REQUIREMENTS]
Follow the instructions in the seperate directories of the development of this project. Each one uses the same hardware but has different approach to achieve the Network Intrusion Detection System.