Adaptive Color Image Encryption Scheme Based on Multiple Distinct Chaotic Maps and DNA Computing

Shaista Mansoor, Parsa Sarosh, Shabir A. Parah, Habib Ullah, Mohammad Hijji and Khan Muhammad
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Shaista Mansoor: Department of Electronics and Instrumentation Technology, University of Kashmir, Srinagar 190006, India
Parsa Sarosh: Department of Electronics and Instrumentation Technology, University of Kashmir, Srinagar 190006, India
Shabir A. Parah: Department of Electronics and Instrumentation Technology, University of Kashmir, Srinagar 190006, India
Habib Ullah: Department of Data Science, Norwegian University of Life Sciences (NMBU), 1433 Ås, Norway
Mohammad Hijji: Faculty of Computers and Information Technology (FCIT), University of Tabuk, Tabuk 47711, Saudi Arabia
Khan Muhammad: Visual Analytics for Knowledge Laboratory (VIS2KNOW Lab), Department of Applied Artificial Intelligence, School of Convergence, College of Computing and Informatics, Sungkyunkwan University, Seoul 03063, Korea

Mathematics, 2022, vol. 10, issue 12, 1-20

Abstract: In this paper, we propose an adaptive encryption scheme for color images using Multiple Distinct Chaotic Maps (MDCM) and DNA computing. We have chosen three distinct chaotic maps, including a 2D-Henon map, a Tent map, and a Logistic map, to separately encrypt the red, green, and blue channels of the original image. The proposed scheme adaptively modifies the parameters of the maps, utilizing various statistical characteristics such as mean, variance, and median of the image to be encrypted. Thus, whenever there is a change in the plain image, the secret keys also change. This makes the proposed scheme robust against the chosen and known plaintext attacks. DNA encoding has also been used to add another layer of security. The experimental analysis of the proposed scheme shows that the average value of entropy is approximately eight, the Number of Pixels Change Rate (NPCR) and Unified Average Changing Intensity (UACI) are 99.61% and 33%, respectively, and correlation coefficients close to zero, making the scheme not only reliable but also resilient against many attacks. Moreover, the use of low-dimensional maps reduces the computational costs of the scheme to a large extent.

Keywords: multimedia security; image encryption; chaos-based cryptography; tent map; logistic map; henon map; DNA computing (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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