https://github.com/kosasih/quantum-sentinel
Quantum Sentinel is an advanced cybersecurity framework that utilizes quantum key distribution and AI-driven threat detection to provide unparalleled protection for sensitive data.
https://github.com/kosasih/quantum-sentinel
artificial-intelligence cyber-security cybersecurity quantum quantum-computing quantum-sentinel
Last synced: about 2 months ago
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Quantum Sentinel is an advanced cybersecurity framework that utilizes quantum key distribution and AI-driven threat detection to provide unparalleled protection for sensitive data.
- Host: GitHub
- URL: https://github.com/kosasih/quantum-sentinel
- Owner: KOSASIH
- License: mit
- Created: 2024-12-15T10:05:20.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-17T12:08:22.000Z (about 1 year ago)
- Last Synced: 2025-03-08T20:57:57.586Z (11 months ago)
- Topics: artificial-intelligence, cyber-security, cybersecurity, quantum, quantum-computing, quantum-sentinel
- Language: Python
- Homepage: https://kosasih.github.io/quantum-sentinel/
- Size: 593 KB
- Stars: 13
- Watchers: 1
- Forks: 3
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Security: docs/security_best_practices.md
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Quantum Sentinel by KOSASIH is licensed under Creative Commons Attribution 4.0 International

# quantum-sentinel
Quantum Sentinel is an advanced cybersecurity framework that utilizes quantum key distribution and AI-driven threat detection to provide unparalleled protection for sensitive data. This repository contains the core algorithms, encryption protocols, and AI models that power the Quantum Sentinel system, along with documentation and examples for seamless integration into existing infrastructures.
Join us in revolutionizing cybersecurity for the quantum age!
# Quantum Sentinel
Quantum Sentinel is an advanced cybersecurity framework designed to protect systems against emerging threats using cutting-edge technologies, including quantum encryption, artificial intelligence, and machine learning. This project aims to provide robust security solutions while adhering to ethical guidelines and best practices.
## Features
- **Quantum Encryption**: Utilizes quantum key distribution and post-quantum cryptography to secure communications.
- **AI-Driven Threat Detection**: Implements machine learning algorithms for real-time anomaly detection and threat intelligence.
- **Network Monitoring**: Provides tools for traffic analysis, intrusion detection, and vulnerability scanning.
- **API Integration**: Offers a RESTful API for easy integration with other systems and applications.
- **Compliance and Reporting**: Helps organizations meet compliance requirements with built-in reporting tools.
## Installation
To install Quantum Sentinel, follow these steps:
1. **Clone the repository**:
```bash
1 git clone https://github.com/KOSASIH/quantum-sentinel.git
2 cd quantum-sentinel
```
3. **Set up a virtual environment (optional but recommended)**:
```bash
1 python -m venv venv
2 source venv/bin/activate # On Windows use `venv\Scripts\activate`
```
4. **Install dependencies**:
```bash
1 pip install -r requirements.txt
```
5. **Configure environment variables**: Create a .env file in the root directory and set the necessary environment variables.
## Usage
To start using Quantum Sentinel, run the main application:
```bash
1 python src/main.py
```
You can also access the API documentation at http://localhost:5000/docs after starting the application.
## Contributing
We welcome contributions! Please see the CONTRIBUTING.md file for guidelines on how to contribute to this project.
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.
## Acknowledgments
- Quantum cryptography research and development.
- Contributions from the open-source community.