This tool uses an Isolation Forest algorithm to identify unusual patterns in network traffic. It begins by collecting data and training a model. After that, it continuously monitors the network in real time.

Installation

1. Clone this repository:

   git clone https://github.com/your-username/ai-netsec-tool.git
   cd ai-netsec-tool
   

2. Install the required packages:

   pip install -r requirements.txt
   

Usage

Run the tool with elevated privileges from the command line:

python netsec_tool.py --interface [your_interface_name]

Additional options:

• --model path/to/model.joblib: Use a pre-trained model
• --save-model path/to/save/model.joblib: Save the trained model after running
• --initial-packets: Number of packets for the initial training (Default: 10000)

Disclaimer

This tool is for educational and research purposes only. Always ensure you have proper authorization before monitoring network traffic.

License

MIT License