Technical Documentation
Basic Docs
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  • 👋Welcome
  • Introduction to CapsureLabs Ecosystem and Architecture
    • Overview of CapsureLabs System and Components
    • Target Audiences and Use Cases
    • Security Model and Access Management
  • System Architecture of CapsureLabs
    • Platform Architecture Overview
    • Microservices Architecture
    • Blockchain and External System Integration
  • API and Integrations
    • REST and WebSocket API
    • GraphQL API for Developers
    • Integration with Third-Party Services and Modules
  • Tools for Traders and Investors
    • AiTradeBot: Algorithms and Prediction
    • NFT Sniper: Data Analysis and Automation
    • DeFi Yield Optimizer: Integration and Yield Automation
    • Arbitrage Scanner: Automated Trade Execution
  • Smart Contract Development and Deployment
    • Essential Patterns and Practices in Smart Contract Development
    • Development Tools: Solidity, Hardhat, Truffle
    • Gas Optimization Solutions
  • Tools for Content Creators
    • NFT Creator Hub: Generation and Management
    • MetaGallery: Creating Virtual Galleries
    • IP Protection Tool: Smart Contracts for IP Protection
    • Revenue Splitter: Automated Revenue Distribution
  • Developer Tools
    • Web3 Dev Toolkit: Libraries and Frameworks
    • Smart Contract Debugger: Contract Testing
    • Chain Interoperability Tool: Building Cross-Chain Applications
  • Wallet Management and Monitoring
    • Wallet Aggregator: Managing Multiple Wallets
    • Decentralized Identity Manager: Access Control and Management
    • Transaction and Balance Monitoring Tools
  • Gaming and Metaverse
    • Game Asset Tracker: Monitoring Game Assets
    • Play-to-Earn Optimizer: Earnings Optimization
    • Virtual Land Manager: Virtual Real Estate Management
  • DAO and Decentralized Governance
    • DAO Governance Tool: Creation and Management
    • Community Incentive Manager: Token and Reward Management
  • Security Protocols and Data Protection
    • Authentication and Access Control
    • Data and Communication Encryption Methods
    • Compliance and Regulatory Alignment
  • Cloud Infrastructure and DevOps
    • Server and Network Configuration Management
    • Monitoring, CI/CD, and Disaster Recovery
    • Auto-Scaling and Load Balancing
  • Payment Gateways and Financial Integration
    • Cryptocurrency Payment Gateways
    • Fiat Payment Systems Integration
  • Machine Learning and Prediction Techniques
    • AI Algorithms for Data Analysis
    • Real-Time User Behavior Analysis
    • Automation and Content Generation
  • Testing and Quality Assurance
    • Automated and Manual Testing
    • Load Testing and Performance Optimization
    • System Monitoring and Auto-Recovery
  • GitHub
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On this page
  • 1.1 Overview
  • 1.2 Core Encryption Strategies
  • 1.3 Data-at-Rest Encryption: AES Encryption
  • 1.3.1 AES Key Generation
  • 1.3.2 AES Encryption
  • 1.3.3 AES Decryption
  • 1.4 Data-in-Transit Encryption: TLS Implementation
  • 1.4.1 Configuring TLS in API Communication
  1. Security Protocols and Data Protection

Data and Communication Encryption Methods

1.1 Overview

Secure data handling and communication are essential for protecting user information and maintaining the integrity of decentralized operations. This documentation provides a guide to encryption methods used for securing data between components, including encryption of data-at-rest and data-in-transit.


1.2 Core Encryption Strategies

Protects stored data in databases or file systems using AES encryption to prevent unauthorized access.

Utilizes TLS (Transport Layer Security) to secure data transmission between components.


1.3 Data-at-Rest Encryption: AES Encryption

1.3.1 AES Key Generation

from cryptography.fernet import Fernet

# Generate an encryption key
encryption_key = Fernet.generate_key()
print("AES Encryption Key:", encryption_key)

1.3.2 AES Encryption

from cryptography.fernet import Fernet

# Initialize Fernet with the generated encryption key
cipher = Fernet(encryption_key)

# Data to encrypt
data = "User data or sensitive information"
encrypted_data = cipher.encrypt(data.encode())
print("Encrypted Data:", encrypted_data)

1.3.3 AES Decryption

# Decrypt the data
decrypted_data = cipher.decrypt(encrypted_data).decode()
print("Decrypted Data:", decrypted_data)

1.4 Data-in-Transit Encryption: TLS Implementation

1.4.1 Configuring TLS in API Communication

  1. Generate SSL Certificates: Use openssl to generate SSL certificates for both client and server authentication.

# Generate a private key
openssl genpkey -algorithm RSA -out private.key

# Create a self-signed certificate
openssl req -new -x509 -key private.key -out certificate.crt -days 365
  1. Enable HTTPS on the Server: For example, with an Express.js server, enable HTTPS using the generated SSL certificate and private key.

const https = require("https");
const fs = require("fs");
const express = require("express");

const app = express();

// Load SSL certificate and private key
const options = {
    key: fs.readFileSync("path/to/private.key"),
    cert: fs.readFileSync("path/to/certificate.crt")
};

// Start HTTPS server
https.createServer(options, app).listen(3000, () => {
    console.log("HTTPS server running on port 3000");
});
  1. Client-Side HTTPS Request: Ensure clients make requests over HTTPS by configuring them to trust the server certificate. Here’s an example using axios in Node.js:

const axios = require("axios");
const https = require("https");

// Trust self-signed certificates for local development
const agent = new https.Agent({  
    rejectUnauthorized: false
});

axios.get("https://localhost:3000/api/data", { httpsAgent: agent })
    .then(response => console.log("Data:", response.data))
    .catch(error => console.error("Error:", error));
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Last updated 7 months ago

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