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Homo²rpheOS is a state-of-the-art open-source framework designed to facilitate the development, testing, and implementation of homomorphic encryption scheme. The project integrates the latest advancements in privacy-preserving technologies, providing a powerful toolkit for developers and researchers in the field of cryptography and secure computing

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Homo²rpheOS: Homomorphic Cryptography Framework for Real-World Applications

Homo²rpheOS (or Homo2rpheOS, pronounced Homomorph[e]OS)

Homo²rpheOS is a state-of-the-art open-source framework designed to facilitate the development, testing, and implementation of homomorphic encryption schemes. The project integrates the latest advancements in privacy-preserving technologies, providing a powerful toolkit for developers and researchers in the field of cryptography and secure computing.

Homo²rpheOS is an open-source framework leveraging cutting-edge homomorphic encryption (HE) techniques, designed to enable secure computation on encrypted data without decryption. By supporting Microsoft SEAL and providing tools for experimentation, development, and integration, Homo²rpheOS paves the way for privacy-preserving solutions across industries.

🚀 Key Features

  • Native Homomorphic Encryption: Built on the robust Microsoft SEAL library, supporting BFV, BGV, and CKKS encryption schemes.
  • Modular Framework: Easily integrate custom HE computations into existing workflows.
  • Comprehensive Examples: Explore practical implementations, from simple polynomial operations to advanced performance benchmarks.
  • Optimized for Alpine Linux: Lightweight and efficient, ideal for containerized environments or resource-constrained systems.

🌟 Why Use Homo²rpheOS?

In today's world, data security and privacy are paramount. Homo²rpheOS ensures sensitive information remains encrypted, even during computation, mitigating risks of data exposure in sectors like:

  1. Finance

    • Example: Securely compute aggregated loan risk across multiple financial institutions without exposing individual client data.
    • Use case: Encrypted salary data analysis for employee pay equity studies, while maintaining strict confidentiality.
  2. Healthcare

    • Example: Run predictive models on encrypted medical records to identify at-risk patients, ensuring compliance with privacy regulations like GDPR and HIPAA.
    • Use case: Conduct encrypted genomic data analysis for personalized medicine, preserving patient anonymity.

🛠️ Installation and Setup

To set up Homo²rpheOS on Alpine Linux, follow these steps:

# Clone the repository
git clone https://github.com/valorisa/homo2rpheOS.git
cd homo2rpheOS

# Install dependencies on Alpine Linux
sudo apk update
sudo apk upgrade
sudo apk add cmake build-base git libressl-dev python3 python3-dev py3-pip

# Build the Microsoft SEAL library
cd SEAL
cmake -S . -B build -DCMAKE_BUILD_TYPE=Release
cmake --build build

# Test SEAL examples
cd native/examples
mkdir build && cd build
cmake ..
cmake --build . --target sealexamples
./bin/sealexamples

Note: Please, a script file 'setup.sh' is located here, in main branch.

📚 How It Works

  1. Encryption of Sensitive Data

    • Input data is encrypted using chosen schemes (BFV, BGV, or CKKS).
    • The framework uses polynomial operations (e.g., multiplication, addition) to compute on ciphertexts.
  2. Secure Computations

    • Homomorphic operations allow secure calculations without decrypting data.
    • The noise budget is actively managed to ensure accuracy and security.
  3. Real-World Examples

    • Example scripts demonstrate polynomial evaluation, secure addition, and real-world applications like risk scoring in finance or medical data aggregation.

🌐 Contribute

We welcome contributions! Whether you're interested in enhancing documentation, implementing new features, or sharing your use cases, feel free to open an issue or submit a pull request.

📫 Get in Touch

For any inquiries or collaboration opportunities, feel free to contact me through the repository.

About

Homo²rpheOS is a state-of-the-art open-source framework designed to facilitate the development, testing, and implementation of homomorphic encryption scheme. The project integrates the latest advancements in privacy-preserving technologies, providing a powerful toolkit for developers and researchers in the field of cryptography and secure computing

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