Henon Maps based selective image encryption approach for enhanced control and security

In today's digital landscape, ensuring information security is paramount, particularly when it comes to safeguarding digital images stored on hard drives or transmitted over networks. Encryption stands as a fundamental measure for preserving privacy and shielding confidential image data. However, encrypting entire images can often lead to extended computational time, presenting a challenge for real-time applications. Partial image encryption emerges as a solution, focusing solely on encrypting the necessary portions of an image to be protected, thereby significantly reducing computational demands. In this context, we propose a block-based partial image encryption technique. Leveraging the Henon Map, we randomly select and encrypt image blocks based on specified encryption requirements. Fine-tuning the encryption level is achieved by adjusting the control threshold value. Experimental findings demonstrate a notable reduction in encryption time compared to full image encryption, positioning this method as a viable alternative for real-time applications. By enhancing security while minimizing computational overhead, this approach offers a promising avenue for securing digital images in dynamic operational settings.