An Image Encryption Scheme Using a 1D Chaotic Double Section Skew Tent Map

Because of their complex behaviour, simple mathematical and digital hardware representation, one-dimensional (1D) chaotic functions were the earliest choices of cryptologists for applying chaos theory to cryptography. It was discovered later that most of these functions suffer from orbits collapsing...

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Main Authors: Rania A. Elmanfaloty, Ehab Abou-Bakr
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2020/7647421
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author Rania A. Elmanfaloty
Ehab Abou-Bakr
author_facet Rania A. Elmanfaloty
Ehab Abou-Bakr
author_sort Rania A. Elmanfaloty
collection DOAJ
description Because of their complex behaviour, simple mathematical and digital hardware representation, one-dimensional (1D) chaotic functions were the earliest choices of cryptologists for applying chaos theory to cryptography. It was discovered later that most of these functions suffer from orbits collapsing into a specific period, especially under finite precision realization and weakness because of their limited number of control parameter(s). This in turn exposed many security issues and was proven to be vulnerable to various types of attacks. This paper addresses the issue of limited number of control parameters by introducing a 1D chaotic function with five control parameters (in addition to the initial condition). Analysis of the function implies its chaotic properties in addition to its ability to generate a cryptographically secured random stream of numbers. To further elaborate on its robustness, a new image encryption algorithm incorporating the function as its random number generator is presented. Various analyses of the new scheme confirm it to be secure with good confusion-diffusion properties.
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spelling doaj-art-89a537882b7a45e48a3f8ca447cba0102025-08-20T02:09:37ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/76474217647421An Image Encryption Scheme Using a 1D Chaotic Double Section Skew Tent MapRania A. Elmanfaloty0Ehab Abou-Bakr1Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi ArabiaDepartment of Electrical Engineering, College of Engineering and IT, Onaizah Colleges, Al-Qassim 56447, Saudi ArabiaBecause of their complex behaviour, simple mathematical and digital hardware representation, one-dimensional (1D) chaotic functions were the earliest choices of cryptologists for applying chaos theory to cryptography. It was discovered later that most of these functions suffer from orbits collapsing into a specific period, especially under finite precision realization and weakness because of their limited number of control parameter(s). This in turn exposed many security issues and was proven to be vulnerable to various types of attacks. This paper addresses the issue of limited number of control parameters by introducing a 1D chaotic function with five control parameters (in addition to the initial condition). Analysis of the function implies its chaotic properties in addition to its ability to generate a cryptographically secured random stream of numbers. To further elaborate on its robustness, a new image encryption algorithm incorporating the function as its random number generator is presented. Various analyses of the new scheme confirm it to be secure with good confusion-diffusion properties.http://dx.doi.org/10.1155/2020/7647421
spellingShingle Rania A. Elmanfaloty
Ehab Abou-Bakr
An Image Encryption Scheme Using a 1D Chaotic Double Section Skew Tent Map
Complexity
title An Image Encryption Scheme Using a 1D Chaotic Double Section Skew Tent Map
title_full An Image Encryption Scheme Using a 1D Chaotic Double Section Skew Tent Map
title_fullStr An Image Encryption Scheme Using a 1D Chaotic Double Section Skew Tent Map
title_full_unstemmed An Image Encryption Scheme Using a 1D Chaotic Double Section Skew Tent Map
title_short An Image Encryption Scheme Using a 1D Chaotic Double Section Skew Tent Map
title_sort image encryption scheme using a 1d chaotic double section skew tent map
url http://dx.doi.org/10.1155/2020/7647421
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