ATTACK TO AN IMAGE ENCRYPTION BASED ON CHAOTIC LOGISTIC MAP

2013 ◽  
Vol 27 (31) ◽  
pp. 1350196 ◽  
Author(s):  
XING-YUAN WANG ◽  
FENG CHEN ◽  
TIAN WANG ◽  
DAHAI XU ◽  
YUTIAN MA
Keyword(s):  
Image Encryption ◽  
Initial Conditions ◽  
Logistic Map ◽  
The Other ◽  
Secret Key ◽  
Chosen Plaintext Attack ◽  
Cipher Text ◽  
Different Types ◽  
Chaotic Logistic Map

This paper offers two different attacks on a freshly proposed image encryption based on chaotic logistic map. The cryptosystem under study first uses a secret key of 80-bit and employed two chaotic logistic maps. We derived the initial conditions of the logistic maps from using the secret key by providing different weights to all its bits. Additionally, in this paper eight different types of procedures are used to encrypt the pixels of an image in the proposed encryption process of which one of them will be used for a certain pixel which is determined by the product of the logistic map. The secret key is revised after encrypting each block which consisted of 16 pixels of the image. The encrypting process have weakness, worst of which is that every byte of plaintext is independent when substituted, so the cipher text of the byte will not change even the other bytes have changed. As a result of weakness, a chosen plaintext attack and a chosen cipher text attack can be completed without any knowledge of the key value to recuperate the ciphered image.

scholarly journals A Simple and Robust Gray Image Encryption Scheme Using Chaotic Logistic Map and Artificial Neural Network

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Adelaïde Nicole Kengnou Telem ◽  
Colince Meli Segning ◽  
Godpromesse Kenne ◽  
Hilaire Bertrand Fotsin
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Image Encryption ◽  
Initial Conditions ◽  
Logistic Map ◽  
Encryption Scheme ◽  
Secret Key ◽  
Gray Image ◽  
Artificial Neural ◽  
Chaotic Logistic Map

A robust gray image encryption scheme using chaotic logistic map and artificial neural network (ANN) is introduced. In the proposed method, an external secret key is used to derive the initial conditions for the logistic chaotic maps which are employed to generate weights and biases matrices of the multilayer perceptron (MLP). During the learning process with the backpropagation algorithm, ANN determines the weight matrix of the connections. The plain image is divided into four subimages which are used for the first diffusion stage. The subimages obtained previously are divided into the square subimage blocks. In the next stage, different initial conditions are employed to generate a key stream which will be used for permutation and diffusion of the subimage blocks. Some security analyses such as entropy analysis, statistical analysis, and key sensitivity analysis are given to demonstrate the key space of the proposed algorithm which is large enough to make brute force attacks infeasible. Computing validation using experimental data with several gray images has been carried out with detailed numerical analysis, in order to validate the high security of the proposed encryption scheme.

A SELECTIVE IMAGE ENCRYPTION BASED ON COUPLE SPATIAL CHAOTIC SYSTEMS

2014 ◽  
Vol 28 (06) ◽  
pp. 1450023 ◽  
Author(s):  
XING-YUAN WANG ◽  
TIAN WANG ◽  
DA-HAI XU ◽  
FENG CHEN
Keyword(s):  
Image Encryption ◽  
Chaotic Systems ◽  
Logistic Map ◽  
High Dimensional ◽  
Gray Level ◽  
Secret Key ◽  
Differential Attack ◽  
One Dimensional ◽  
Cipher Text ◽  
Gray Level Image

In this paper, we present a selective image encryption system based on couple spatial chaotic systems, the cascade one-dimensional Logistic map and high-dimensional spatial chaotic system has been used to generate the adequate encryption sequence, then the selective gray-level image encryption is implemented with the sequence, which can greatly improve the encryption performance and efficiency. In addition, we also adopt an index array to control the generation of the secret key, a completely different cipher text will be obtained if a pixel's value is altered in the original image, which can resist the differential attack effectively.

Biometric Image Security Using Chaos Algorithm

2017 ◽  
Vol 9 (2) ◽  
pp. 49-57
Author(s):  
Sugandha Agarwal ◽  
O.P. Singh ◽  
Deepak Nagaria
Keyword(s):  
Image Encryption ◽  
Initial Conditions ◽  
Logistic Map ◽  
Advanced Technology ◽  
Secret Key ◽  
Biometric Encryption ◽  
Real Time Image ◽  
Chaos Algorithm ◽  
High Level ◽  
Time Image

In this world of Advanced Technology, the Biometrics are proved to be a significant method for user identification. However, the use of biometric is not new, but these days, with the increase in multimedia applications, it has gained its popularity in analysing human characteristics for security purposes. Biometric Encryption using Chaos Algorithm is a technique used to make it more convenient to the user and to provide high level security. The most prominent physical biometric patterns investigated for security purposes are the fingerprint, hand, eye, face, and voice. In the proposed image encryption scheme, an external secret key of 160-bit is used. The initial conditions for the logistic map are derived using the external secret key. The results obtained through experimental analysis provide an efficient and secure way for real-time image encryption and transmission.

scholarly journals Biometric Image Security Using Chaos Algorithm

Cryptography ◽  
2020 ◽  
pp. 39-47
Author(s):  
Sugandha Agarwal ◽  
O.P. Singh ◽  
Deepak Nagaria
Keyword(s):  
Image Encryption ◽  
Initial Conditions ◽  
Logistic Map ◽  
Advanced Technology ◽  
Encryption Scheme ◽  
Secret Key ◽  
Biometric Encryption ◽  
Chaos Algorithm ◽  
High Level ◽  
Time Image

In this world of Advanced Technology, the Biometrics are proved to be a significant method for user identification. However, the use of biometric is not new, but these days, with the increase in multimedia applications, it has gained its popularity in analysing human characteristics for security purposes. Biometric Encryption using Chaos Algorithm is a technique used to make it more convenient to the user and to provide high level security. The most prominent physical biometric patterns investigated for security purposes are the fingerprint, hand, eye, face, and voice. In the proposed image encryption scheme, an external secret key of 160-bit is used. The initial conditions for the logistic map are derived using the external secret key. The results obtained through experimental analysis provide an efficient and secure way for real-time image encryption and transmission.

Image Encryption Algorithm Based on Substitution Principle and Shuffling Scheme

2020 ◽  
Vol 38 (3B) ◽  
pp. 98-103
Author(s):  
Atyaf S. Hamad ◽  
Alaa K. Farhan
Keyword(s):  
Image Encryption ◽  
Chaotic Map ◽  
Logistic Map ◽  
Encryption Algorithm ◽  
Second Phase ◽  
Cipher Text ◽  
The Face ◽  
Substitution Principle ◽  
2D Logistic Map ◽  
Image Encryption Algorithm

This research presents a method of image encryption that has been designed based on the algorithm of complete shuffling, transformation of substitution box, and predicated image crypto-system. This proposed algorithm presents extra confusion in the first phase because of including an S-box based on using substitution by AES algorithm in encryption and its inverse in Decryption. In the second phase, shifting and rotation were used based on secrete key in each channel depending on the result from the chaotic map, 2D logistic map and the output was processed and used for the encryption algorithm. It is known from earlier studies that simple encryption of images based on the scheme of shuffling is insecure in the face of chosen cipher text attacks. Later, an extended algorithm has been projected. This algorithm performs well against chosen cipher text attacks. In addition, the proposed approach was analyzed for NPCR, UACI (Unified Average Changing Intensity), and Entropy analysis for determining its strength.

scholarly journals An Image Encryption Algorithm with Total Diffusion

2018 ◽  
Vol 11 (1) ◽  
pp. 15-25
Author(s):  
Jakub Oravec ◽  
Ján Turán ◽  
Ľuboš Ovseník
Keyword(s):  
Image Encryption ◽  
Logistic Map ◽  
Encryption Algorithm ◽  
Diffusion Stage ◽  
Suitable Combination ◽  
Image Pixels ◽  
Encrypted Images ◽  
Two Stages ◽  
Image Encryption Algorithm ◽  
Chaotic Logistic Map

Abstract This paper proposes an image encryption algorithm which uses four scans of an image during the diffusion stage in order to achieve total diffusion between intensities of image pixels. The condition of total diffusion is fulfilled by a suitable combination of techniques of ciphertext chaining and plaintext related diffusion. The proposed encryption algorithm uses two stages which utilize chaotic logistic map for generation of pseudo-random sequences. The paper also briefly analyzes approaches described by other researchers and evaluates experimental results of the proposed solution by means of commonly used measures. Properties of our proposal regarding modifications of plain images prior to encryption or modifications of encrypted images prior to decryption are illustrated by two additional experiments. The obtained numeric results are compared with those achieved by other proposals and briefly discussed.

scholarly journals An ILM-cosine transform-based improved approach to image encryption

2020 ◽  
Author(s):  
Mohit Dua ◽  
Arun Suthar ◽  
Arpit Garg ◽  
Vaibhav Garg
Keyword(s):  
Image Encryption ◽  
High Efficiency ◽  
Initial Conditions ◽  
Signal To Noise Ratio ◽  
Logistic Map ◽  
Random Order ◽  
Chaotic Sequence ◽  
Dynamical Behaviour ◽  
Original Position ◽  
Digital Information

Abstract The chaos-based cryptography techniques are used widely to protect digital information from intruders. The chaotic systems have some of special features that make them suitable for the purpose of encryption. These systems are highly unpredictable and are highly sensitive or responsive to the initial conditions, also known as butterfly effect. This sensitive dependence on initial conditions make these systems to exhibit an intricate dynamical behaviour. However, this dynamical behaviour is not much complex in simple one-dimensional chaotic maps. Hence, it becomes easy for an intruder to predict the contents of the message being sent. The proposed work in this paper introduces an improved method for encrypting images, which uses cosine transformation of 3-D Intertwining Logistic Map (ILM). The proposed approach has been split into three major parts. In the first part, Secure Hash Function-256 (SHA-256) is used with cosine transformed ILM (CT-ILM) to generate the chaotic sequence. This chaotic sequence is used by high-efficiency scrambling to reduce the correlations between the adjacent pixels of the image. In the second part, the image is rotated to move all the pixels away from their original position. In the third part, random order substitution is applied to change the value of image pixels. The effectiveness of the proposed method has been tested on a number of standard parameters such as correlation coefficient, Entropy and Unified average change in intensity. The proposed approach has also been tested for decryption parameters like mean square error and peak signal to noise ratio. It can easily be observed from the obtained results that the proposed method of image encryption is more secure and time efficient than some earlier proposed techniques. The approach works for both color and grey scale images.

Two-Level Secret Key Image Encryption Method Based on Piecewise Linear Map and Logistic Map

2012 ◽  
Vol 241-244 ◽  
pp. 2728-2731
Author(s):  
Yong Zhang
Keyword(s):  
Image Encryption ◽  
Piecewise Linear ◽  
Logistic Map ◽  
Secret Key ◽  
Linear Map ◽  
Piecewise Linear Map ◽  
Encryption Schemes ◽  
Secret Keys ◽  
Secret Code ◽  
Encryption Method

Some chaos-based image encryption schemes using plain-images independent secret code streams have weak encryption security and are vulnerable to chosen plaintext and chosen cipher-text attacks. This paper proposed a two-level secret key image encryption method, where the first-level secret key is the private symmetric secret key, and the second-level secret key is derived from both the first-level secret key and the plain image by iterating piecewise linear map and Logistic map. Even though the first-level key is identical, the different plain images will produce different second-level secret keys and different secret code streams. The results show that the proposed has high encryption speed, and also can effectively resist chosen/known plaintext attacks.

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