A Secure Chaotic Framework for Medical Image Encryption using a 3D Logistic Map

Authors

  • E A Adedokun Ahmadu Bello University, Zaria
  • Bello J Akan Ahmadu Bello University Zaria
  • H B Salau Ahmadu Bello University, Zaria
  • I J Umoh Ahmadu Bello University, Zaria
  • Richard I Nwosu Federal college of forestry, Jos
  • Yunusa Ibrahim Hussaini Adamu Federal Polytechnic, Kazaure

Keywords:

Block-level scrambling, Image blocking, Image encryption, Medical image.

Abstract

Information security and privacy are of utmost importance in transmitting, storing and preserving medical images. In this paper, a secure chaotic framework for medical image encryption is presented, in order to address existing defect in chaos-based image encryption algorithm. The proposed algorithm does the following: a 2D logistic adjusted sine map (2D-LASM) is utilized to generate random number with pixel format, the generated number are then inserted on a plain-image surrounding, which is then divided into non overlapping sub blocks. The scrambling sequence were generated using a 3D logistic map, before image pixel blocks scrambling and diffusion were performed on each sub-block of pixels  using the generated scrambling sequence. To verify the efficiency of the proposed algorithm, a number of simulations were carried-out. Based on the results obtained, the algorithm recorded an average score of 7.9998 for information entropy while for number of pixel change rate (NPCR) and unified average changing intensity (UACI) 99.6261% and 33.4830% respectively on an average scale. The proposed algorithm showed high robustness, sensitivity and resistance to all forms of differential attack.

Author Biographies

E A Adedokun, Ahmadu Bello University, Zaria

Senior Lecturer Department of Computer Engineering

Bello J Akan, Ahmadu Bello University Zaria

Research Student at the department of computer engineering Ahmadu Bello University Zaria

H B Salau, Ahmadu Bello University, Zaria

Senior Lecturer Department of Computer Engineering

I J Umoh, Ahmadu Bello University, Zaria

Senior Lecturer Department of Computer Engineering

Richard I Nwosu, Federal college of forestry, Jos

Senior Lecturer Department of Computer Computer Science

Yunusa Ibrahim, Hussaini Adamu Federal Polytechnic, Kazaure

Lecturer I, Department of Computer Engineering

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Published

05-05-2020

How to Cite

Adedokun, E. A., Akan, B. J., Salau, H. B., Umoh, I. J., Nwosu, R. I., & Ibrahim, Y. (2020). A Secure Chaotic Framework for Medical Image Encryption using a 3D Logistic Map. Applications of Modelling and Simulation, 4, 141–148. Retrieved from https://www.ojs.arqiipubl.com/index.php/AMS_Journal/article/view/133

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