Hybrid Image Encryption Using 2D Henon Chaotic Map and Evolutionary Algorithm

In today’s age of digital data interchange, safeguarding the security and privacy of visual information has emerged as a critical and immediate priority. This study introduces a novel approach to image encryption leveraging the combined strength of 2D Henon chaotic mapping and evolutionary algorithms, specifically Genetic Algorithms (GA). The proposed method aims to enhance the security of image data through a multi-step encryption process. Initially, the plain image is transformed into a cipher image using the 2D Henon chaotic map, which introduces a high level of randomness and complexity. Subsequently, an evolutionary algorithm, particularly the Genetic Algorithm, is employed to further optimize and strengthen the encryption by iteratively refining the cipher image. The evolutionary process enhances the scrambling of image pixels, ensuring robustness against attacks and increasing the encryption’s complexity. The synergy between the Henon chaotic map and Genetic Algorithm offers a potent encryption framework capable of securing image data efficiently while preserving its integrity during transmission and storage. Experimental evaluations and analyses showcase the effectiveness and resilience of the proposed encryption scheme against various cryptographic attacks, establishing its potential for secure image communication applications.