Augment the Security of Biometric Image Transmission Via the Implementation of Cascade Chaotic System Encryption.

Abstract

The research investigates the various uses of chaotic maps by presenting a cascade chaotic system (CCS), which functions as a universal chaotic framework. The core idea entails utilizing an affine transformation with chaotically generated transformation sequences (the cascade chaotic system) to reorganize biometric pictures. The CCS can produce numerous new chaotic maps by employing two one-dimensional chaotic maps 1-D as seed maps. The newly created chaotic maps demonstrate elevated parameters, intricate chaotic traits, and improved chaotic efficacy, making them more unpredictable. We introduce a PRNG pseudo-random number generator and a data encryption system that utilize a chaotic map generated by the CCS to explore its possibilities. The effectiveness and reliability of the suggested method were confirmed by many simulations and analysis of biometric images.