🛡️ Intrusion Detection System (IDS)

A lightweight, real-time IDS powered by Machine Learning to protect your network against threats like DDoS, Port Scanning, Brute Force, and more.
Built with ❤️ using Python, Scikit-learn, and Django.

🚀 Features ⚡ Real-Time Traffic Analysis
🧠 Custom ML-Based Attack Detection

🔍 Detects:

• Port Scans
• DoS/DDoS Attacks
• Brute Force Logins
• Suspicious IP Connections

⚙️ Modular Design — Easy to expand & customize

📢 Smart Alerts — Email, File, or Console notifications

🧩 Lightweight Backend — Suitable for small to mid-scale networks

📈 Live Dashboards (Optional Django-based frontend)

📸 Sneak Peek

🛠️ Tech Stack - Python - Scikit-learn for ML models - Django for optional dashboard - SQLite/PostgreSQL for storage - WireShark / Tshark for packet sniffing

⚠️ Project Status
🧪 This project is currently under active development.
👥 Contributions, feedback, and ideas are welcome via issues or pull requests.

👨‍💻 Meet the Team

Sulav Ghimire @sulavghimiree 💡 AI & System Design Enthusiast

Sushil Poudel @dollarboysushil 🛡️ CPTS Certified Cybersecurity Researcher

Nabin Dhakal @nabindhakal 📲 UI/UX Designer

📥 Getting Started bash Copy Edit # Clone the repo git clone https://github.com/sulavghimiree/Network_Anomaly_Detection_System cd IDS

Create a virtual environment

python -m venv venv
source venv/bin/activate # or venv\Scripts\activate on Windows

Install dependencies

pip install -r requirements.txt

Start the system

python manage.py runserver

🧠 Future Plans
🔐 Integrate firewall-level auto-blocking
📊 Development of Desktop Application
📡 Multi-device deployment
🧪 Enhanced model training using more real-time attack datasets
🤝 Contributing
Contributions are highly appreciated!
Feel free to fork the repo, raise issues, and submit PRs.