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.
- Kafka and RabbitMQ for high-throughput, reliable event streaming.
- Support for real-time data pipelines and geo-distributed processing.
- 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.
- gRPC with Protobuf for high-performance, low-latency communication.
- Quiche/HTTP3 for secure and fast data transport.
- 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.
- 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.
- IPFS Cluster for scalable, immutable, and decentralized archival of critical data.
- Fully aligned with ISO 27001, GDPR, and CMMC 2.0.
- Designed to meet DARPA-aligned principles and NIST 800-171 standards.
- Cloudflare Workers for edge computing.
- Redis for caching and low-latency data retrieval.
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Clone the Repository
git clone https://github.com/rfc391/RTDRS.git cd RTDRS
-
Install Dependencies Install the required dependencies using
pip
or a virtual environment:pip install -r requirements.txt
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Configuration
- Update the configuration files in the
configs
directory. - For Cloudflare Zero Trust, edit the
cloudflare_config.json
file.
- Update the configuration files in the
-
Run the Application
python main.py
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.
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.
We welcome contributions! Please see the CONTRIBUTING.md
file for guidelines.
This project is licensed under the MIT License. See the LICENSE
file for details.