https://github.com/rohancyberops/ids
https://github.com/rohancyberops/ids
Last synced: 4 months ago
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- Host: GitHub
- URL: https://github.com/rohancyberops/ids
- Owner: RohanCyberOps
- License: mit
- Created: 2025-01-28T09:54:59.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-10-18T14:07:15.000Z (8 months ago)
- Last Synced: 2025-10-19T08:43:24.339Z (8 months ago)
- Language: HTML
- Size: 18.6 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
---
# AI-Powered Intrusion Detection System (IDS) 🚀
[](https://github.com/RohanCyberOps/IDS)
An advanced **Cyber Security Tool** that leverages **Artificial Intelligence (AI)** to monitor network traffic and detect potential threats or intrusions in real time. This project is designed to enhance network security by identifying malicious activities with high precision.
---
## 🌟 Features
- **Real-Time Monitoring:** Continuously scans network traffic for unusual patterns.
- **AI-Based Detection:** Utilizes machine learning models to classify threats.
- **Customizable Rules:** Fine-tune detection parameters to suit your environment.
- **User-Friendly Interface:** Clear and detailed reports for network administrators.
- **Extensive Threat Database:** Identifies known and zero-day attacks.
---
## 📁 Project Structure
```bash
IDS/
├── data/ # Sample datasets for training/testing
├── models/ # Pre-trained machine learning models
├── src/ # Source code for the IDS
├── tests/ # Unit tests for the IDS
├── README.md # Project documentation
├── requirements.txt # Required Python libraries
└── LICENSE # License information
```
---
## 🔧 Installation
1. **Clone the repository:**
```bash
git clone https://github.com/RohanCyberOps/IDS.git
cd IDS
```
2. **Install dependencies:**
```bash
pip install -r requirements.txt
```
3. **Run the application:**
```bash
python src/ai_engine.py
```
---
## ⚙️ Configuration
Modify the configuration in the `config.json` file:
```json
{
"network_interface": "eth0",
"alert_threshold": 0.75,
"log_file": "logs/ids.log"
}
```
---
## 🧪 Datasets
- **Training Data:** Located in the `data/` folder. You can use your own datasets or publicly available ones like [CICIDS](https://www.unb.ca/cic/datasets/index.html).
- **Pre-Trained Models:** Found in the `models/` folder. Replace them with updated models if required.
---
## 🤖 How It Works
1. **Traffic Monitoring:** Captures live network traffic.
2. **Preprocessing:** Cleans and processes traffic data.
3. **AI Model:** Detects anomalies using supervised learning.
4. **Alerts:** Generates reports and real-time alerts for suspicious activity.
---
## 🛠️ Built With
- **Python** 🐍
- **Scikit-Learn** 🤖
- **Pandas** 📊
- **TensorFlow/PyTorch** 🧠
---
## 🛡️ Use Cases
- Detect unauthorized access or malware in networks.
- Prevent data breaches and sensitive information theft.
- Monitor enterprise networks for policy compliance.
---
## 📝 Contribution
Contributions are welcome! Follow these steps:
1. Fork the repository.
2. Create a feature branch: `git checkout -b feature/your-feature`.
3. Commit changes: `git commit -m 'Add your feature'`.
4. Push to the branch: `git push origin feature/your-feature`.
5. Create a pull request.
---
## 📜 License
This project is licensed under the [MIT License](LICENSE).
---
## 📞 Support
For questions or issues, feel free to reach out:
- **Email:** Rohan150907@gmail.com
- **GitHub Issues:** [Submit here](https://github.com/RohanCyberOps/IDS/issues)
---
## ⭐ Acknowledgements
- Inspired by modern network security challenges.
- Thanks to [RohanCyberOps](https://github.com/RohanCyberOps) for creating this project!
---
**🔗 [View Repository](https://github.com/RohanCyberOps/IDS)**
Feel free to suggest improvements or report issues to make this tool even better! 😊