Secure Database System

This project investigates the performance and practicality of different data encryption approaches within a local database system. The primary aim is to compare how effectively various methods can secure data while maintaining acceptable processing efficiency.

Three encryption strategies are evaluated:

• AES – a secure, industry-standard encryption method used as the baseline
• LLM-style transformation – a simulated approach inspired by language model behaviour
• Hybrid – a combined method applying AES with additional reversible transformations

The system allows users to input text or upload files, which are then processed through the selected encryption method. For each run, the system measures encryption and decryption times, visualising results through graphs and statistical summaries.

The key focus of the project is to evaluate the trade-off between security and performance. By analysing execution time, data handling efficiency, and method behaviour at scale, the project highlights which approaches are most viable for real-world secure database applications.