This program is designed to test pre-trained models for side channel attacks using deep learning techniques. It provides a graphical user interface (GUI) to facilitate the implementation and visualization of the attack results.

• Model Selection: Load and test pre-trained models stored in the models/ folder.
• Dataset Handling: Manage and process datasets for testing.
• Attack Execution: Perform side channel attacks and predict key bytes.
• Results Visualization: Display the confidence levels and prediction accuracy through an intuitive interface.

The following screenshots provide a visual overview of the application's interface:

To run this program, ensure you have the following packages installed. You can install them using the requirements.txt file.

PyQt5 PySide6 tensorflow==2.10.1

1. Clone the repository or download the source code.
2. Navigate to the project directory.
3. Create a virtual environment (optional but recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

4. Install required packages:

    pip install -r requirements.txt

To start the application, execute the following command in your terminal:

     python main.py

• Anaconda Python 3.10.14
• TensorFlow 2.10.1

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

github@hcn1z1