InvisiData

Overview

InvisiData is a robust steganography solution for cybersecurity, allowing users to securely hide sensitive information within images using advanced techniques. With support for invisible data embedding and military-grade encryption, InvisiData helps protect privacy in personal and professional digital communication.

Features

• AES-256 Encryption: Military-grade security for embedded data.
• Invisible Embedding: Zero visual impact—hidden data is undetectable to the naked eye.
• Instant Processing: Real-time encoding and decoding for fast operations.
• Dual API Support: Easy-to-use Python and REST API endpoints.
• User-Friendly Web Interface: Modern React web app for encoding and decoding images.

Technologies Used

• Backend: Python (Flask), OpenCV, NumPy
• Frontend: TypeScript, React, Tailwind CSS, Framer Motion
• Steganography Algorithms: LSB (Least Significant Bit) Method
• Security: AES-256 Encryption (planned/partial)
• APIs: RESTful endpoints for image encoding/decoding

Getting Started

Prerequisites

• Python 3.7+
• Node.js & npm (for frontend)
• pip (Python package manager)

Backend Installation

1. Clone the repository:

   git clone https://github.com/Coder-Kartikey/InvisiData.git
   cd InvisiData/server

2. Install dependencies:

   pip install opencv-python numpy flask flask-cors

3. Run the server:

   python app.py

Frontend Installation

1. Navigate to the client directory:

   cd ../client

2. Install dependencies:

   npm install

3. Start the app:

   npm start

   Visit http://localhost:3000 in your browser.

Usage

Python Library

import steganography
import cv2

# Load the image
image = steganography.load_image('example_image.png')

# Encode the data
secret_data = 'This is a secret message!'
encoded_image = steganography.encode_data(image, secret_data)
cv2.imwrite('encoded_image.png', encoded_image)

# Decode the data
decoded_data = steganography.decode_data(encoded_image)
print('Decoded data:', decoded_data)

REST API

• Encode: POST /encode with form-data (image, message)
• Decode: POST /decode with form-data (image)

Web App

• Upload an image, enter your secret message, and click "Encode".
• Download the processed image or use "Decode" to extract hidden messages.

File Structure

• /server/app.py: Flask backend & APIs.
• /server/steganography.py: Core encoding/decoding logic.
• /client/: React frontend for user interaction.
• /client/public/index.html: Web app entry point.
• /client/src/App.tsx: Main app logic for encoding/decoding.
• /assets/: Image assets and banners (if available).

Example Images

• example_image.png: Test image for encoding.
• encoded_image.png: Output image with hidden data.

Contributing

We welcome contributions! Please open issues for bugs or feature requests, and submit pull requests to improve the project.

Author

Built and maintained by CoderKP.
Contact: [email protected]

License

This project currently does not specify a license. If you wish to use it for commercial purposes, please contact me

Leading the future of digital privacy with invisible data embedding technology. Secure your sensitive information with our advanced steganography solutions.