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# Advanced Threat Detection and Mitigation System | ||
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This is a high-tech threat detection and mitigation system that utilizes advanced AI, blockchain, and network technologies to detect and respond to threats in real-time. | ||
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## Features | ||
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* Advanced threat detection using machine learning algorithms | ||
* Real-time threat mitigation using AI-powered decision-making | ||
* Blockchain-based incident response and verification | ||
* Secure network communication using cryptographic protocols | ||
* Integration with various data sources and systems | ||
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## Architecture | ||
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The system consists of the following components: | ||
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* Threat Detection Model: uses machine learning algorithms to detect threats | ||
* Threat Mitigation Model: uses AI-powered decision-making to respond to threats | ||
* AI Engine: processes input data and generates output | ||
* Blockchain: stores incident response data and verifies signatures | ||
* Network: enables secure communication between components | ||
* Security Oracle: generates cryptographic keys and signs data | ||
* Security Incident Response: reports incidents and verifies responses | ||
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## API Endpoints | ||
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* `/detect_threat`: detects threats using the threat detection model | ||
* `/mitigate_threat`: responds to threats using the threat mitigation model | ||
* `/process_input`: processes input data using the AI engine | ||
* `/add_block`: adds a new block to the blockchain | ||
* `/send_data`: sends data over the network | ||
* `/report_incident`: reports an incident and receives a response | ||
* `/verify_response`: verifies a response signature | ||
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## Getting Started | ||
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1. Install the required dependencies using `pip install -r requirements.txt` | ||
2. Run the system using `python main.py` | ||
3. Use the API endpoints to interact with the system | ||
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## Contributing | ||
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Contributions are welcome! Please submit a pull request with your changes. | ||
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## License | ||
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This system is licensed under the MIT License. See `LICENSE` for details. |