Pixels Substitution-Permutation Employing ISING Model and Gyrator Transformation for Securing Image

In recent duration, exponential internet growth usage has necessitated robust methods for securing data during transmission.Image encryption has emerged as a crucial technique to prevent unauthorized access and manipulation of digital content.This study introduces a novel encryption method that enhances image security through a two-stage process.The first stage involves substituting and shuffling plain image pixels using a set of random numbers generated by the ISING model, where these numbers are described as a sequence of movements.In the second stage, pixel values are permuted using the Gyrator transformation, resulting in a ciphered image.Extensive numerical simulations have been conducted to calculate the effectiveness of the suggested method.The results confirm the method's efficacy, demonstrating significant improvements in security and robustness compared to existing encryption techniques.Statistical analyses further prove the advantages of using the confusion and diffusion properties for improving the proposed method.The proposed method represents a substantial improvement in the field of image encryption, presenting a secure and reliable solution for protecting digital images.