Title: Combining DNA sequences and chaotic maps to improve robustness of RGB image encryption

Authors: Onkar Thorat; Ramchandra Mangrulkar

Addresses: Department of Computer Engineering, Dwarkadas J. Sanghvi College of Engineering, University of Mumbai, India ' Department of Computer Engineering, Dwarkadas J. Sanghvi College of Engineering, University of Mumbai, India

Abstract: In today's world colour images are vastly generated and stored for a variety of purposes by organisations. Standard encryption schemes such as AES or DES are not well suited for encryption of multimedia data due to their pattern appearance and high computational cost. Many methods are being proposed for the encryption of greyscale images. However, there are only a few methods proposed in the literature specifically for encrypting the colour images. This paper presents a new method called RGB image encryption scheme (RGBIES) for encrypting the colour images based on chaotic maps and DNA sequences. RGBIES has three major stages. Stages 1 and 3 propose a powerful scrambling algorithm based on a chaotic logistic map. The intermediate step uses a chaotic Lorenz map, the keys of which are obtained using DNA sequences. Various visual and quantitative analyses are performed that prove the resistance of the method against modern-day attacks.

Keywords: image encryption; image security; chaotic maps; deoxyribonucleic acid sequences; security analysis; cryptography; diffusion; logistic map; Lorenz map.

DOI: 10.1504/IJCSE.2023.129736

International Journal of Computational Science and Engineering, 2023 Vol.26 No.2, pp.143 - 156

Received: 09 Aug 2021
Accepted: 01 Nov 2021

Published online: 22 Mar 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article