This repository contains the extended and customized version of the SMKHE project, which implements multi-key homomorphic encryption. This version has been customized for use in scenarios like personalized medicine and SNP data encryption and decryption with patterned data input.

• Homomorphic Encryption: Supports encoding, encryption, and decryption using multi-key homomorphic encryption (MKHE).
• Dynamic Input Size: The project has been extended to allow for dynamic input size using patterned data or random data, allowing testing at various scales.
• SNP Data Simulation: Implements custom pattern-based data input for SNPs and weights in healthcare applications.

To use this project, you will need:

• CMake: For building the project.
• GTest: For running the tests.
• A C++17 compatible compiler: For compiling the code.
• Git: For cloning and managing the repository.

1. Clone the repository:

   git clone https://github.com/your-username/smkhe.git

2. Navigate to the project directory:

   cd smkhe

3. Build the project:

   cmake -B build
   cmake --build build

4. Run the tests:

   ./build/tests

This project includes a test suite based on Google Test for validating the encryption, decryption, and evaluation logic.

This test encrypts and decrypts a dataset, ensuring the result matches the original input:

TEST(Encoder, DynamicInputSizeTest) {
    // Initialize Parameters
    Parameters parameters(pow(2.0, 50), 16384, {1152921504606748673}, {1152921504606748673});
    MKKeygen keygen(parameters, 12345);
    SecretKey secretKey = keygen.generateSecretKey();
    MKPublicKey publicKey = keygen.generatePublicKey();
    MKEvaluationKey evalKey = keygen.generateEvaluationKey(publicKey);

    // Generate dynamic input size data with the pattern
    int inputSize = 1000;  // Adjust this value for different input sizes
    vector<double> data = generatePatternedData(inputSize);

    // Encoding, encrypting, and decrypting logic follows...
}

You can adjust the input size to scale the encryption and test larger datasets.

This project follows the MIT License.