ids-iforest

Name	ids-iforest JSON
Version	0.1.0 JSON
	download
home_page	None
Summary	Network intrusion detection system based on Isolation Forest and PyShark
upload_time	2025-08-24 13:43:19
maintainer	None
docs_url	None
author	None
requires_python	>=3.10
license	None
keywords	ids machine learning isolation forest network security
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
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            # IDS-IForest

Network intrusion detection system based on Isolation Forest and PyShark.

## Overview

This package provides tools for network traffic analysis and anomaly detection using machine learning. It uses the Isolation Forest algorithm to detect unusual network behavior that may indicate potential security threats.

## Features

- Train anomaly detection models on network traffic data
- Detect anomalies in live network traffic or PCAP files
- Convert PCAP files to flow-based CSV format
- Generate synthetic datasets for testing

## Installation

```bash
pip install ids-iforest
```

## Usage

### Training a model

```bash
ids-iforest-train --input data/train.csv --output models/ids_iforest.joblib
```

### Detecting anomalies

```bash
ids-iforest-detect --model models/ids_iforest.joblib --interface eth0
```

### Converting PCAP to CSV

```bash
ids-iforest-pcap2csv --input capture.pcap --output flows.csv
```

## License

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

            

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