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Dmitry Sorokin (@sorydima) edited this page Nov 19, 2024 · 1 revision

Wiki Structure for GrapheneOS Network

1. Home

  • Introduction to the GrapheneOS Network.
  • Purpose and goals of the repository.
  • Links to GrapheneOS-related projects and documentation.

2. Getting Started

  • Prerequisites for contributors and developers.
  • Repository setup instructions.

3. Network Architecture

  • Overview of the network's design.
  • Key components and their interactions.

4. Deployment Guide

  • Steps to deploy the GrapheneOS Network.
  • Recommended hosting environments and configurations.

5. Security Framework

  • Security practices implemented in the network.
  • Guidance for secure deployment and maintenance.

6. Contribution Guidelines

  • How to contribute to the repository.
  • Standards and best practices for development.

7. FAQ

  • Frequently asked questions and troubleshooting tips.

8. License

  • Details of the repository's licensing terms.

9. Acknowledgements

  • Credits for contributors and supporting organizations.

Home.md

# Welcome to the GrapheneOS Network Wiki

## About GrapheneOS Network
The GrapheneOS Network is a decentralized, privacy-focused infrastructure designed to complement the secure operating system, GrapheneOS. This repository serves as the backbone for deploying and maintaining the GrapheneOS Network.

## Goals
- Build a resilient, decentralized network for secure communications.
- Enhance user privacy and security through robust infrastructure.

## Related Resources
- [GrapheneOS Official Website](https://grapheneos.org)
- [GrapheneOS Documentation](https://grapheneos.org/docs)
- [GrapheneOS Releases](https://github.com/Katya-Incorporated/releases.grapheneos.org)

Let’s collaborate to create a secure and decentralized network!

Getting_Started.md

# Getting Started

## Prerequisites
- **Languages**: Python (>= 3.9), Bash scripting.
- **Tools**:
  - Docker (>= 20.10)
  - Kubernetes (optional, for advanced deployments)
  - Git (>= 2.30)

## Repository Setup
1. Clone the repository:
   ```bash
   git clone https://github.com/Katya-Incorporated/grapheneos.network.git
   cd grapheneos.network

  1. Install dependencies:

    pip install -r requirements.txt

  2. Run initial checks:

    python scripts/validate_setup.py

You are now ready to contribute or deploy the network!


---

### **Network_Architecture.md**
```markdown
# Network Architecture

## Overview
The GrapheneOS Network is designed with privacy, decentralization, and security as its core principles. Key components include:

### Components
1. **Node Manager**:
   - Handles node registration, updates, and configurations.
   - Written in Python with RESTful APIs.

2. **Data Relay Nodes**:
   - Relay encrypted communications.
   - Support secure transmission protocols.

3. **Monitoring and Analytics**:
   - Non-invasive monitoring tools to ensure network health.

## Diagram
```plaintext
[Client] <---> [Relay Node] <---> [Node Manager] <---> [Data Store]

For detailed documentation, see the design.md file.


---

### **Deployment_Guide.md**
```markdown
# Deployment Guide

## Deployment Options
- **Local Deployment**:
  Ideal for testing and development.

- **Cloud Deployment**:
  Recommended for production environments. Compatible with AWS, GCP, and Azure.

## Local Deployment Steps
1. Set up Docker:
   ```bash
   docker-compose up --build
  1. Access the network dashboard:

Cloud Deployment Steps

  1. Provision a Kubernetes cluster.

  2. Apply the deployment configuration:

    kubectl apply -f deployment/k8s.yaml

  3. Verify the deployment:

    kubectl get pods

For advanced configurations, refer to the deployment/ folder.


---

### **Security_Framework.md**
```markdown
# Security Framework

## Encryption Standards
- All data transmitted within the network is encrypted using AES-256.
- Certificates are issued via Let's Encrypt for HTTPS endpoints.

## Secure Nodes
- Nodes authenticate using asymmetric cryptography (RSA).
- Regular key rotations to minimize risk.

## Monitoring Best Practices
- Deploy monitoring tools such as Prometheus to detect anomalies.
- Use network traffic analyzers for secure behavior auditing.

For more details, refer to the `SECURITY.md` file in the repository.

Contribution_Guidelines.md

# Contribution Guidelines

## Repository Structure
- `/docs`: Technical and user documentation.
- `/scripts`: Automation scripts for deployment and testing.
- `/src`: Source code for network components.

## How to Contribute
1. Fork the repository and create a new branch:
   ```bash
   git checkout -b feature/your-feature
  1. Submit a pull request with detailed changes.
  2. Follow the Code of Conduct.

Code Standards

  • Use Python’s PEP 8 style guide.
  • Write unit tests for all new features.

---

### **FAQ.md**
```markdown
# FAQ

## Common Questions

### Q: How do I deploy a node?
- Follow the [Deployment Guide](./Deployment_Guide.md) for step-by-step instructions.

### Q: What happens if a node fails?
- The network is resilient to individual node failures. Use the monitoring tools to identify and resolve issues.

### Q: How do I contribute?
- See the [Contribution Guidelines](./Contribution_Guidelines.md) page.

License.md

# License

The GrapheneOS Network repository is licensed under the MIT License. For full details, see the [LICENSE](https://github.com/Katya-Incorporated/grapheneos.network/blob/main/LICENSE) file.

Acknowledgements.md

# Acknowledgements

This project is possible thanks to:
- The GrapheneOS team for their commitment to secure and private technologies.
- Open-source tools and contributors that power our infrastructure.
- The community for feedback and contributions.

Together, we’re building a privacy-first future.
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