scholarly journals A New Algorithm of Image Encryption Based on 3D Arnold Cat

2011 ◽  
Vol 1 ◽  
pp. 183-187 ◽  
Author(s):  
Tian Gong Pan ◽  
Da Yong Li
Keyword(s):  
Image Encryption ◽  
Simulation Analysis ◽  
Encryption Algorithm ◽  
Original Image ◽  
Arnold Cat Map

3D Arnold cat map can be applied in image encryption, and it has more security and better effect. However, its period is fixed. The original image will be returned to itself if iterating some times. On the basis of 3D Arnold cat map, it presented an algorithm of image encryption which separates the original image to many same blocks and no period. Simulation analysis shows that the encryption algorithm has characters of strong keys, better effect and fast.

scholarly journals Image Encryption Algorithm Based on the H-Fractal and Dynamic Self-Invertible Matrix

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Xuncai Zhang ◽  
Lingfei Wang ◽  
Ying Niu ◽  
Guangzhao Cui ◽  
Shengtao Geng
Keyword(s):  
Image Encryption ◽  
Security Analysis ◽  
Encryption Algorithm ◽  
Hyperchaotic System ◽  
Original Image ◽  
Invertible Matrix ◽  
Pseudorandom Sequences ◽  
Pixel Location ◽  
Encryption Method ◽  
Image Encryption Algorithm

In this paper, an image encryption algorithm based on the H-fractal and dynamic self-invertible matrix is proposed. The H-fractal diffusion encryption method is firstly used in this encryption algorithm. This method crosses the pixels at both ends of the H-fractal, and it can enrich the means of pixel diffusion. The encryption algorithm we propose uses the Lorenz hyperchaotic system to generate pseudorandom sequences for pixel location scrambling and self-invertible matrix construction to scramble and diffuse images. To link the cipher image with the original image, the initial values of the Lorenz hyperchaotic system are determined using the original image, and it can enhance the security of the encryption algorithm. The security analysis shows that this algorithm is easy to implement. It has a large key space and strong key sensitivity and can effectively resist plaintext attacks.

An Image Encryption Algorithm Based on Random Walk and Hyperchaotic Systems

2020 ◽  
Vol 30 (04) ◽  
pp. 2050060 ◽  
Author(s):  
Cong Xu ◽  
Jingru Sun ◽  
Chunhua Wang
Keyword(s):  
Random Walk ◽  
Image Encryption ◽  
Experimental Results ◽  
Encryption Algorithm ◽  
Original Image ◽  
Chosen Plaintext Attack ◽  
Random Walk Method ◽  
Encryption Algorithms ◽  
Hyperchaotic Systems ◽  
Image Encryption Algorithm

In this paper, we propose an image encryption algorithm based on random walk and two hyperchaotic systems. The random walk method is adopted to scramble the position of pixels within a block. Furthermore, the permutation operation between blocks is presented to enhance the scramble effect. Thus, high correlation among pixels of original image is broken by permutation. Moreover, the chosen plaintext attack is used to test the anti-attack ability of the proposed algorithm. By analyzing experimental results and comparing with other image encryption algorithms, we show that the proposed algorithm has better performance and higher security.

Analysis of DNA Image Encryption Effect by Logistic‐Sine System Combined with Fractional Chaos Stability Theory

2020 ◽  
Vol 64 (4) ◽  
pp. 40413-1-40413-8
Author(s):  
Zhuang-hao Si ◽  
Wei Wei ◽  
Bi-song Li ◽  
Wei-jie Feng
Keyword(s):  
Image Encryption ◽  
Fractional Order ◽  
Stability Theory ◽  
Data Encryption ◽  
Encryption Algorithm ◽  
Fuzzy Differential Equation ◽  
Original Image ◽  
Image Histogram ◽  
Change Intensity ◽  
Digital Image Encryption

Abstract To explore the DNA image encryption method based on the Logistic‐sine system and the fractional-order chaos stability theory, a fractional-order fuzzy differential equation is first introduced to construct a chaotic synchronization system. Then the green, blue, and red primary color matrix is established to design new DNA image encryption, and the encryption process is explained. Next, a data encryption algorithm and an advanced encryption algorithm are introduced to perform simulation experiments on the MATLAB 2014 software platform. It is found that the images encrypted by the new algorithm all exhibit striped snowflakes, and after decryption, it is almost the same as the original image. The histogram of the image encrypted by the new algorithm is flat, which is very different from the original image histogram. The average pixel change rate of the image encrypted by the new algorithm is 99.6267%, and the average change intensity reaches 33.5183%. The average information entropy of the image encrypted by the new algorithm is 7.9624, which is close to the upper limit of 8. The calculation time and occupied space of the new algorithm are less than those of the data encryption algorithm and the advanced encryption algorithm. This result shows that the DNA image encryption algorithm based on the Logistic‐sine system and the fractional-order chaos stability theory has excellent performance and can provide a certain theoretical basis for research in the field of digital image encryption.

Image Encryption Algorithm Based on 3D Arnold Cat and Logistic Map

2011 ◽  
Vol 317-319 ◽  
pp. 1537-1540 ◽  
Author(s):  
Tian Gong Pan ◽  
Da Yong Li
Keyword(s):  
Image Encryption ◽  
Chaotic Map ◽  
Logistic Map ◽  
Encryption Algorithm ◽  
Simulation Experiments ◽  
Arnold Cat Map ◽  
Classical Transformation ◽  
Image Encryption Algorithm ◽  
Small Period

Arnold cat map is a classical transformation of image encryption, but it has some shortcomings such as short key quantities, small period and so on. On the basis of Arnold cat map, it presented an algorithm of image encryption based on 3D Arnold cat and chaotic map. Simulation experiments show that the encryption algorithm has characters of strong keys, better effect and fast.

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.

Image Encryption Algorithm with Plaintext Related Chaining

2019 ◽  
Vol 38 (3) ◽  
pp. 647-678 ◽  
Author(s):  
Ľuboš Ovseník ◽  
Ján Turán ◽  
Tomáš Huszaník ◽  
Jakub Oravec ◽  
Ondrej Kováč ◽  
...  
Keyword(s):  
Image Encryption ◽  
Encryption Algorithm ◽  
Image Encryption Algorithm
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