Color multiple image encryption scheme based on 3D-chaotic maps

Dania Saleem Malik and Tariq Shah

Mathematics and Computers in Simulation (MATCOM), 2020, vol. 178, issue C, 646-666

Abstract: In many research areas, production of images is increasing with every day. These days, the prime focus of researchers is on the security of digital images. Motivated by gray multiple image encryption algorithms, this paper suggests a novel Chaos-based color multiple image encryption technique. A 3D histogram equalization method has been applied to equalize the chaotic sequences histograms of Lorenz system. Confusion/diffusion of image data has been implemented by using sequences generated by histogram equalized Lorenz and Rossler system. In confusion stage, the input image colored pixels have been scrambled. Then in diffusion stage, pixel replacement is done by scrambled images and sequences of Rossler system. The proposed scheme efficiency is validated via key sensitivity, key space, entropy, horizontal, vertical, diagonal correlation, UACI and NPCR tests. Furthermore, the overall security analysis and experimental results show that the proposed encryption technique has achieved confidentiality and have resistance against classical attacks.

Keywords: Image encryption; Multiple image encryption (MIE); Chaotic maps (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:178:y:2020:i:c:p:646-666

DOI: 10.1016/j.matcom.2020.07.007

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