A Hybrid Domain Medical Image Encryption Scheme Using URUK and WAM Chaotic Maps with Wavelet – Fourier Transforms

Authors

  • Ali Akram Abdul-Kareem Iraqi Commission for Computers and Informatics, Informatics Institute for Postgraduate Studies, Baghdad, Iraq https://orcid.org/0000-0003-1995-3218
  • Waleed Ameen Mahmoud Al-Jawher Uruk University, Baghdad, Iraq

DOI:

https://doi.org/10.13052/jcsm2245-1439.1241

Keywords:

Cryptographic algorithms, Encoding, chaos, Arnold transform, Magic Square

Abstract

Image encryption is one of the most important techniques to maintain data confidentiality against illegal access and fraudulent usage. In this study, a new medical image encryption technique was developed by combining the discrete wavelet transform, the fast Fourier transform, the Arnold transform, and two multidimensional chaotic systems. The medical image is subjected to a discrete wavelet transform before the magic square shuffles the image sub-bands. Confusion operations are performed on each scrambled subdomain using the Uruk 4D chaotic system. To increase randomness and unpredictability, a second stage of confusion is implemented in the domain of the Fast Fourier transform using the Arnold transform. The final encrypted image is obtained utilizing secret keys derived from the WAM 3D chaotic system. In particular, the initial conditions for chaotic systems are derived from grayscale values, thereby increasing the algorithm’s sensitivity to the input image. The results of the tests and the security analysis indicate that the proposed algorithm is exceptionally reliable and secure.

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Author Biographies

Ali Akram Abdul-Kareem, Iraqi Commission for Computers and Informatics, Informatics Institute for Postgraduate Studies, Baghdad, Iraq

Ali Akram Abdul-Kareem earned a Bachelor from Middle Technical University in Baghdad, Iraq, in 2011 and a Master of Science in Computer Science from Middle East University in Amman, Jordan, in 2016. Currently, he is a Ph.D. candidate at the Iraqi Commission for Computers and Informatics, Information Institute for Postgraduate Studies in Baghdad, Iraq, and a Computer Programmer at Al Rafidain Bank in Baghdad, Iraq. He has more than ten years of experience implementing banking information systems projects. His research interests are image encryption, chaos, compressive sensing, and optimization algorithms.

Waleed Ameen Mahmoud Al-Jawher, Uruk University, Baghdad, Iraq

Waleed Ameen Mahmoud Al-Jawher: President Assistance for scientific Affairs, University of Uruk, Iraq. He received a School of Research in Digital Signal Processing (2005). He received his Ph.D. in Digital Signal Processing from University of Wales, United Kingdom (1986). He has a teaching experience in Computer Science and Communication engineering for 44 years. A total of (15) National Awards. He Published over (290) papers, Supervised more than (210) MSc and PhD Students. He was the First professor Award of University of Baghdad, Iraq. His present areas of research interest are the field of Digital Signal Processing and their applications.

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Published

2023-06-30

How to Cite

1.
Abdul-Kareem AA, Al-Jawher WAM. A Hybrid Domain Medical Image Encryption Scheme Using URUK and WAM Chaotic Maps with Wavelet – Fourier Transforms. JCSANDM [Internet]. 2023 Jun. 30 [cited 2024 Sep. 12];12(04):435-64. Available from: https://journals.riverpublishers.com/index.php/JCSANDM/article/view/19037

Issue

2023: Vol 12 Iss 4

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