QuantumShield is a robust cybersecurity application designed to offer advanced protection for your system against a variety of security threats. An advanced Python-based cybersecurity application that uses machine learning, quantum-inspired algorithms, and real-time monitoring to detect and autonomously mitigate zero-day attacks, insider threats, and complex, multi-stage cyber intrusions.
- Advanced Traffic Analysis: Monitor network traffic with detailed insights and alerts.
- Network Monitoring: Keep track of network activities and detect unusual patterns.
- Real-time Alerts: Receive instant notifications for potential threats.
- Comprehensive Logging: Detailed logs for security events and system activities.
- Customizable: Easy to configure and extend according to specific security needs.
Follow these steps to set up QuantumShield on your local machine:
- Python: Version 3.8 or above
- Virtual Environment: Recommended for managing dependencies
- Git: For version control
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Clone the Repository:
git clone https://github.com/MrShankarAryal/QuantumShield.git cd QuantumShield -
Set Up the Virtual Environment:
python -m venv venv .\venv\Scripts\activate # On Windows source venv/bin/activate # On Linux/MacOS
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Install Dependencies:
pip install -r requirements.txt
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Run the Application:
python main.py
Ensure your application is functioning correctly by running the unit tests:
pytest tests/"The best way to predict the future is to create it." - Alan Kay
We welcome contributions and feedback from our user community to help shape the future of QuantumShield!
- Fork the repository.
- Create a new branch:
git checkout -b feature/YourFeature
- Commit your changes:
git commit -am 'Add new feature' - Push to the branch:
git push origin feature/YourFeature
- Open a Pull Request with a description of your changes.
Please refer to the contributing guidelines for more details.
This project is licensed under the MIT License. See the LICENSE file for details.
| Library/Tool | Purpose |
|---|---|
| Scapy | 📦 Packet manipulation and network traffic analysis |
| pytest | 🧪 Unit testing and validation |
| cryptography | 🔐 Secure data handling and encryption |
🚀 We're constantly working to improve QuantumShield. Here's what's on our roadmap:
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- Integration with cutting-edge AI algorithms
- Real-time pattern recognition and anomaly detection
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- Support for additional protocols:
- IoT-specific protocols
- Emerging network standards
- Enhanced service monitoring across diverse environments
- Support for additional protocols:
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- 🎨 Sleek, modern design
- 📊 Interactive dashboards with real-time visualizations
- 📱 Responsive layout for seamless mobile access
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- ⚡ Improved processing speed for large-scale networks
- 🧠 Intelligent resource allocation
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- 🔧 User-defined rule sets and alert thresholds
- 🔌 Extensible plugin architecture for community contributions
| Contact | Information |
|---|---|
| Developer | Shankar Aryal |
| shankararyal737@gmail.com | |
| GitHub | @MrShankarAryal |
| Website | mrshankararyal.github.io |
💖 Thank you for your interest in QuantumShield! 💖