MacIDS 1.0

macOS-based Intrusion Detection System using machine learning for adaptive network security

MacIDS - macOS Intrusion Detection System

MacIDS is a comprehensive network monitoring and intrusion detection system designed specifically for macOS. It provides real-time network traffic analysis, application identification, and visualization tools to help users monitor and secure their network connections.

Features

• Real-time Network Monitoring: Capture and analyze network traffic on your macOS system in real-time
• Application Identification: Identify which applications are generating network traffic
• Website Tracking: Monitor and analyze websites and domains accessed from your system
• Geolocation Visualization: See where your network connections are going on a world map
• Data Export: Export connection data for further analysis

Requirements

• macOS 10.14 or newer
• Python 3.7+
• Administrator privileges (for packet capture functionality)

Installation

Using pip

pip install MacIDS

From source

git clone https://github.com/Nandhan-KA/MacIDS.git
cd MacIDS
pip install -e .

Usage

Network Monitor

To start the network monitoring tool:

sudo macids-netmon

Administrator privileges are required for capturing network packets.

You can also run it through Python:

sudo python -m macids.netmon

How It Works

MacIDS uses Scapy to capture and analyze network packets at the system level. The application identifies processes associated with network connections, resolves domain names, and provides geographical information about connections.

Key components:

• Packet capture engine using Scapy
• Process-connection correlation
• Domain name resolution
• Geolocation services
• Interactive visualization using Matplotlib and Tkinter

Key Differences from WinIDS

• Uses Scapy for packet capture instead of WinDivert
• Adapted for macOS network stack and process management
• Updated UI to match macOS design patterns
• Modified packet handling for macOS network architecture

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Original WinIDS project by Nandhan K
• MaxMind for GeoLite2 geolocation data
• Scapy project for packet manipulation tools
• Matplotlib for visualization components