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This project leverages AI, blockchain, IoT sensors, and quantum-safe cryptography to provide a robust counter-terrorism solution.

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Real-Time Threat Detection and Response System (RTDRS)

The Real-Time Threat Detection and Response System (RTDRS) is a next-generation, open-source framework that integrates cutting-edge technologies to enhance public safety, critical infrastructure monitoring, and defense operations. The system is designed to meet military-grade standards, emphasizing security, performance, and adaptability in mission-critical scenarios.

Key Features

1. Event-Driven Architecture (EDA)

  • Kafka and RabbitMQ for high-throughput, reliable event streaming.
  • Support for real-time data pipelines and geo-distributed processing.

2. AI and ML Integration

  • OpenCV and ONNX for real-time object detection and behavioral analysis.
  • NVIDIA Triton and TensorRT for optimized AI model inference on GPUs.
  • Support for advanced signal processing with the FES (Fluctuation-Enhanced Sensing) engine.

3. Low-Latency Communication

  • gRPC with Protobuf for high-performance, low-latency communication.
  • Quiche/HTTP3 for secure and fast data transport.

4. Databases

  • Time-Series Storage: InfluxDB for telemetry and sensor data.
  • Transactional Databases: PostgreSQL/Cloudflare D1 for dynamic data storage.
  • Immutable Storage: immudb combined with IPFS for secure archival and blockchain integration.

5. Advanced Security

  • Zero Trust Architecture: Cloudflare Zero Trust for network security.
  • Quantum-Safe Encryption: Post-Quantum Cryptography (PQC) and Quantum Key Distribution (QKD).
  • FIPS 140-3 compliance for cryptographic modules.

6. Decentralized Storage

  • IPFS Cluster for scalable, immutable, and decentralized archival of critical data.

7. Standards and Compliance

  • Fully aligned with ISO 27001, GDPR, and CMMC 2.0.
  • Designed to meet DARPA-aligned principles and NIST 800-171 standards.

8. Performance Optimization

  • Cloudflare Workers for edge computing.
  • Redis for caching and low-latency data retrieval.

Installation and Setup

  1. Clone the Repository

    git clone https://github.com/rfc391/RTDRS.git
    cd RTDRS
  2. Install Dependencies Install the required dependencies using pip or a virtual environment:

    pip install -r requirements.txt
  3. Configuration

    • Update the configuration files in the configs directory.
    • For Cloudflare Zero Trust, edit the cloudflare_config.json file.
  4. Run the Application

    python main.py

Documentation

Detailed documentation is available in the docs directory. It includes:

  • User Guide: Step-by-step instructions to use the system.
  • Developer Guide: Information on extending and customizing the system.
  • API Reference: Details on the available APIs and endpoints.

Deployment

The system can be deployed on cloud platforms or on-premises servers. Deployment instructions are provided for:

  • Cloudflare Workers for edge computing.
  • Dockerized Setup for containerized environments.

Contributing

We welcome contributions! Please see the CONTRIBUTING.md file for guidelines.

License

This project is licensed under the MIT License. See the LICENSE file for details.

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This project leverages AI, blockchain, IoT sensors, and quantum-safe cryptography to provide a robust counter-terrorism solution.

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