SecurMask: Fortifying Data Privacy With Intelligent Masking

SecurMask is a web application designed to securely mask sensitive data and unmask masked data in .csv and .xlsx files. With a sleek React frontend and a dual backend powered by both Node.js and Flask, the app ensures a seamless and secure data masking and unmasking experience.

Features

• Data Masking: Encrypt sensitive data in specified columns of CSV or XLSX files.
• Data Unmasking: Decrypt previously masked data to its original state.
• Secure Encryption: Utilizes the cryptography library for robust data encryption.
• Upload .csv and .xlsx files for secure processing.
• Mask sensitive data such as birthdates, addresses, emails, credit card details, and more.
• Customizable masking options: select specific columns or apply masking to all columns.
• Fast and secure processing with Python’s Pandas and Node.js libraries.
• Responsive and user-friendly UI.
• Download the masked file securely.

Technologies Used

Frontend

• React.js: Dynamic user interface.
• SweetAlert2: Elegant alert modals for user interactions.
• CSS: Custom styling and animations.

Backend

• Node.js: For file handling, routing, and integration with React.
• Express.js: API routing and server setup.
• Flask: Python-based backend for advanced data masking and processing.
• Pandas: Efficient data handling and transformation.
• Python Faker: Generating fake data for sensitive fields.

Getting Started

Prerequisites

Ensure the following tools are installed:

• Node.js 14.x or later (for the frontend and Node.js backend)
• Python 3.8 or later (for the Flask backend)
• pip (Python package manager)
• npm

Installation

1. Clone the Repository

   git clone https://github.com/ird1natris/SecurMask.git
   cd SecurMask

2. Set Up the Backend

   Navigate to the backend folder:

   cd server

   Run the Flask backend:

   npm start  

3. Set Up the Frontend

   Install the dependencies:

   npm install  

   Start the React client server:

   npm run dev    

Future Enhancements

• Expand support for other file formats (e.g., .json, .xml).
• Improving scalability.
• Incorporate machine learning for intelligent data masking patterns.

Contributing

1. Clone the repository:

git clone https://github.com/ird1natris/SecurMask.git  
cd SecurMask  

2. Work on the project, making changes locally.

3. Push changes to the repository:

git add .  
git commit -m "[TYPE] Your commit message"  
git push origin master  

4. Ensure to pull any updates before working further:

git pull origin master