Abstract: Image encryption is a crucial aspect that helps to maintain the images' confidentiality and security in diverse applications. Ongoing research is focused on improving the efficiency and effectiveness of encryption. Image encryption has many practical applications in today's digital world, such as securing confidential images transmitted over networks, protecting sensitive personal information stored in images, and ensuring the privacy of medical images. The suggested work represents a breakthrough in image encryption by proposing a model that leverages the power of DNA, RSA, and chaos. This model has three phases: key generation, confusion, and diffusion. The key generation phase employs a hash function and hyperchaotic technique to generate a strong key. During the confusion phase, the positions of pixels are rearranged, either at the image level or within blocks, using the Duffing chaotic map. Once the scrambling level is determined, each pixel undergoes two successive scrambling steps, with Henon and Arnold's chaotic map to change its location. During the diffusion phase, the encryption model employs a two way approach to ensure maximum security. Firstly, it utilizes dynamic DNA cryptography for non-adjacent bits, followed by robust RSA cryptography. The experimental results indicate that the model possesses a strong security level randomness and can withstand different attacks.

Marwa A. Elmenyawi and Nada M. Abdel Aziem, “Hybrid Image Encryption using Non-Adjacent Bits Dynamic Encoding DNA with RSA and Chaotic Systems” International Journal of Advanced Computer Science and Applications(IJACSA), 14(9), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0140964

@article{Elmenyawi2023,
title = {Hybrid Image Encryption using Non-Adjacent Bits Dynamic Encoding DNA with RSA and Chaotic Systems},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140964},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140964},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {9},
author = {Marwa A. Elmenyawi and Nada M. Abdel Aziem}
}