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

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...

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Main Authors: E. A. Adedokun, J. B. Akan, H. Bello-Salau, I. J. Umoh, Nwosu R. I, Y. Ibrahim
Format: Article
Language:English
Published: ARQII PUBLICATION 2020-05-01
Series:Applications of Modelling and Simulation
Subjects:
Online Access:http://arqiipubl.com/ojs/index.php/AMS_Journal/article/view/133/89
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spelling doaj-bba55e07cb344589a6dd0e2df75451102020-11-25T03:46:42ZengARQII PUBLICATIONApplications of Modelling and Simulation2600-80842020-05-014141148A Secure Chaotic Framework for Medical Image Encryption using a 3D Logistic MapE. A. Adedokun0J. B. Akan1H. Bello-Salau2I. J. Umoh3Nwosu R. I4Y. Ibrahim5Faculty of Engineering, Department of Computer Engineering, Ahmadu Bello University, Zaria, NigeriaFaculty of Engineering, Department of Computer Engineering, Ahmadu Bello University, Zaria, NigeriaFaculty of Engineering, Department of Computer Engineering, Ahmadu Bello University, Zaria, NigeriaFaculty of Engineering, Department of Computer Engineering, Ahmadu Bello University, Zaria, NigeriaDepartment of Computer Science, Federal College of Forestry, Jos, Nigeria Department Computer Engineering, Hussanini Adamu Federal Polytechnic, Kazaure, NigeriaInformation 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.http://arqiipubl.com/ojs/index.php/AMS_Journal/article/view/133/89block-level scramblingimage blockingimage encryptionmedical image
collection DOAJ
language English
format Article
sources DOAJ
author E. A. Adedokun
J. B. Akan
H. Bello-Salau
I. J. Umoh
Nwosu R. I
Y. Ibrahim
spellingShingle E. A. Adedokun
J. B. Akan
H. Bello-Salau
I. J. Umoh
Nwosu R. I
Y. Ibrahim
A Secure Chaotic Framework for Medical Image Encryption using a 3D Logistic Map
Applications of Modelling and Simulation
block-level scrambling
image blocking
image encryption
medical image
author_facet E. A. Adedokun
J. B. Akan
H. Bello-Salau
I. J. Umoh
Nwosu R. I
Y. Ibrahim
author_sort E. A. Adedokun
title A Secure Chaotic Framework for Medical Image Encryption using a 3D Logistic Map
title_short A Secure Chaotic Framework for Medical Image Encryption using a 3D Logistic Map
title_full A Secure Chaotic Framework for Medical Image Encryption using a 3D Logistic Map
title_fullStr A Secure Chaotic Framework for Medical Image Encryption using a 3D Logistic Map
title_full_unstemmed A Secure Chaotic Framework for Medical Image Encryption using a 3D Logistic Map
title_sort secure chaotic framework for medical image encryption using a 3d logistic map
publisher ARQII PUBLICATION
series Applications of Modelling and Simulation
issn 2600-8084
publishDate 2020-05-01
description 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.
topic block-level scrambling
image blocking
image encryption
medical image
url http://arqiipubl.com/ojs/index.php/AMS_Journal/article/view/133/89
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