Homomorphic Encryption for Financial Data Processing

Project Overview

This project demonstrates the application of homomorphic encryption (HE) to perform SQL-like operations on encrypted financial data. The primary goal is to showcase the feasibility of using homomorphic encryption to secure sensitive data while still enabling essential database operations such as SELECT, SUM, and UPDATE.

Key Features

• Encryption of Financial Data: Securely encrypts financial data, such as account balances, using the BFV scheme.
• Homomorphic Operations: Perform encrypted SQL-like operations (SELECT, SUM, UPDATE) without decrypting the data.
• Performance Analysis: Tracks and reports the number of arithmetic operations (additions and multiplications) required for each operation, providing insights into the computational overhead.

Prerequisites

Before running the project, ensure you have the following installed:

• C++ Compiler: A C++17 compatible compiler.
• CMake: Version 3.12 or higher.
• Microsoft SEAL: The Microsoft SEAL library is required for homomorphic encryption.

Installation

1. Clone the Repository

git clone https://github.com/Tejaaswini/Homomorphic-Encryption
cd Homomorphic-Encryption

2. Install Microsoft SEAL

Follow the instructions from the Microsoft SEAL GitHub repository to install the SEAL library on your system.

3. Build the Project

mkdir build
cd build
cmake ..
make

4. Run the Application

./homomorphic_encryption_example

Usage

1. Encryption Scheme

The project uses the BFV scheme (Brakerski/Fan-Vercauteren) for homomorphic encryption, which supports both addition and multiplication operations on encrypted integers.

2. Financial Data Processing

The project simulates a financial database containing account balances. It allows you to perform the following operations on encrypted data:

• SELECT Operation: Filters account balances based on a condition (e.g., balances greater than $10,000).
• SUM Operation: Computes the total sum of the selected account balances.
• UPDATE Operation: Increases the balance of selected accounts by a fixed amount (e.g., $500).

3. Operation Performance Analysis

The application tracks the number of addition and multiplication operations performed during each SQL-like operation. These counts are displayed after each operation to provide insights into the computational overhead introduced by homomorphic encryption.

Example Output

Running the program will generate output similar to the following:

***********************************************************************
********** Homomorphic Encryption: SELECT and COUNT Operations **********
***********************************************************************
Plaintext matrix slot count: 4096
Account balances have been encrypted.
Result of SELECT operation (balances > $10,000): 12000 0 50000 0 30000 0 20000 0 60000 15000
Total sum of balances > $10,000: $187000
Updated account balances (after increasing by $500 for balances > $10,000): 12500 0 50500 0 30500 0 20500 0 60500 15500
Total Additions: 56789
Total Multiplications: 34567
Total Operations (Additions + Multiplications): 91356

Project Structure

• main.cpp: Contains the implementation of the homomorphic encryption operations (SELECT, SUM, UPDATE).
• CMakeLists.txt: CMake configuration file for building the project.
• README.md: This file.

Contributing

If you'd like to contribute to this project, feel free to fork the repository and submit a pull request. Contributions are welcome!

License

This project is licensed under the MIT License. See the LICENSE file for details.

Acknowledgments

• Microsoft SEAL: This project uses the Microsoft SEAL library for homomorphic encryption. Special thanks to the SEAL team for their excellent work.

Contact

For any questions or feedback, please contact [[email protected]] or [[email protected]] or [[email protected]].