Image Encryption and Decryption Using Chaotic Maps and Scan Pattern

Abstract In the era of digital communication, image security has become a paramount concern, particularly with the proliferation of multimedia applications over insecure networks. This project proposes a robust image encryption and decryption method utilizing a combination of scan patterns and chaotic maps to enhance security and complexity. Specifically, the encryption process integrates Zeta and Spiral Scan Patterns for pixel rearrangement, followed by confusion using the Arnold Cat Map, and further strengthened by a Logistic Map-based diffusion mechanism. The scan patterns disrupt the pixel positioning, while the Arnold Cat Map introduces confusion through spatial transformation. The Logistic Map, known for its high sensitivity to initial conditions, ensures strong diffusion by altering pixel values based on chaotic sequences. The decryption process reverses these operations in sequence to accurately retrieve the original image. Experimental results demonstrate that the proposed hybrid approach significantly improves the resistance against statistical and differential attacks, providing a high level of security and reliability. This method is especially suitable for secure image transmission and storage in applications demanding confidentiality and integrity.