EncryptoLog is a lightweight yet highly effective image encryption system leveraging the chaotic behavior of the Logistic Map. It demonstrates the power of chaos theory to achieve high security, sensitivity, and randomness in image encryption.
- 🔒 Chaotic Logistic Map-Based Encryption
- 🖼️ Supports both grayscale and color images
- 📊 Robust security metrics: NPCR, UACI, PSNR, MSE, and Entropy
- ⚙️ Simple, efficient, and suitable for real-time applications
- 🔑 Key-dependent encryption ensures strong protection
Image Encryption Using Logistic Map Dynamics.ipynb- Full implementation with step-by-step explanation- 📊 Performance evaluations across multiple standard images
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NPCR (Number of Pixel Change Rate):
Measures the percentage of different pixel values between the original and encrypted images.
Higher NPCR indicates better sensitivity and stronger encryption. -
UACI (Unified Average Changing Intensity):
Measures the average intensity difference between the original and encrypted images.
Higher UACI shows a stronger ability to significantly alter pixel intensities. -
PSNR (Peak Signal-to-Noise Ratio):
Evaluates the quality of the decrypted image compared to the original image.
Higher PSNR indicates better image recovery (lower distortion). -
MSE (Mean Squared Error):
Quantifies the average squared difference between the original and decrypted images.
Lower MSE means less error and higher decryption accuracy.
- NPCR > 99.6%
- UACI ~30-35%
- Entropy ~7.999 bits per channel
- Strong resistance to statistical and differential attacks.
pip install numpy matplotlib opencv-python- Clone the repository:
git clone https://github.com/sonali6062/EncryptoLog-Logistic-Chaos-for-Image-Security.git- Open the provided Jupyter Notebook:
Image Encryption Using Logistic Map Dynamics.ipynb- Run the cells to encrypt and decrypt images using the Logistic Map.
This project can be extended to:
- 🔹 Image encryption using higher-dimensional chaotic maps
- 🔹 Hybrid schemes combining logistic maps with other cryptographic techniques (e.g., DNA coding, AES, SHA integration)
- 🔹 Real-time encrypted image transmission
- 🔹 Secure video encryption using multi-map chaotic systems