Image Scrambling Encryption Algorithm Based on Limited Integer Domain

2010 ◽  
Author(s):  
Ruihong Zhang ◽  
Zhichao Yu
Keyword(s):  
Encryption Algorithm ◽  
Image Scrambling ◽  
Scrambling Encryption

scholarly journals Cryptanalyzing an Image-Scrambling Encryption Algorithm of Pixel Bits

2017 ◽  
Vol 24 (3) ◽  
pp. 64-71 ◽  
Author(s):  
Chengqing Li ◽  
Dongdong Lin ◽  
Jinhu Lu
Keyword(s):  
Encryption Algorithm ◽  
Image Scrambling ◽  
Scrambling Encryption

scholarly journals The Improved Image Scrambling Algorithm for the Wireless Image Transmission Systems of UAVs

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3430 ◽  
Author(s):  
Jie Dong ◽  
Guowei Wu ◽  
Tingting Yang ◽  
Yangyang Li
Keyword(s):  
Image Transmission ◽  
Encryption Algorithm ◽  
Data Matrix ◽  
Image Scrambling ◽  
Image Information ◽  
Aerial Vehicle ◽  
Important Means ◽  
Modern Warfare ◽  
Scrambling Encryption ◽  
Wireless Image Transmission

With the deepening of modern military reforms, information has become the key to winning modern warfare. The use of unmanned aerial vehicle (UAV) to capture image information has become an important means of reconnaissance in modern warfare and plays an irreplaceable role. The image information usually uses a wireless image transmission system, since image information is intercepted or stolen easily during the information transmission, encrypting an image is a common method for ensuring image security. However, traditional encryption algorithms have some deficiencies in terms of efficiency and security. In order to overcome these shortcomings, a new algorithm is proposed in this paper-an improved image scrambling encryption algorithm based on Fibonacci-p coding. The first new idea of the algorithm is to separate the positive and negative signs and data of the scrambled DCT coefficients, then form the symbol matrix and the data matrix respectively, perform the scrambling encryption operation on the symbol matrix. The second new idea is to encrypt the color RGB image by converting the R, G, and B colors into Y, Cb, and Cr, and converting the normal image operation into operations on Y, Cb, and Cr, thereby implementing the encryption operation. The comprehensive performance of the algorithm is optimal with different image information. Experiments results validate the favorable performance of the proposed improved encryption algorithm.

The Image Encryption Scheme Based on the Generalized First-Order Directional Derivative Transformation

2010 ◽  
Vol 40-41 ◽  
pp. 537-542
Author(s):  
Zong Ying Li
Keyword(s):  
Image Encryption ◽  
Digital Image ◽  
Directional Derivative ◽  
Three Dimensional ◽  
Encryption Algorithm ◽  
First Order ◽  
Digital Image Encryption ◽  
Arnold Transformation ◽  
Scrambling Encryption ◽  
Image Encryption Algorithm

In order to improve the capability of scrambling encryption and anti-aggressive, we extended the two-dimensional Arnold transformation to three-dimensional, and designed one kind of new diffusion equation of the digital image pixel gray value, then introduced a novel digital image encryption algorithm based on them. The large number of simulation results and analysis have both shown that the proposed scheme is a very effective encryption algorithm.

Image Encryption Algorithm Based on Even Scrambling

2011 ◽  
Vol 179-180 ◽  
pp. 470-474
Author(s):  
Jian Zhang ◽  
Hong E Ren ◽  
Yu Chen
Keyword(s):  
Image Encryption ◽  
Chaotic Map ◽  
Experimental Results ◽  
Universal Property ◽  
Encryption Algorithm ◽  
Image Scrambling ◽  
Important Method ◽  
Image Position ◽  
Image Encryption Algorithm

Image scrambling is an important method to achieve images secrecy. Arnold cat transformation is widely applied, and its scrambling effect is better relatively in the classical scrambling algorithms. But it has some shortcomings of short key qualities and poor universal property. It brings forward an algorithm of image position even scrambling through improving the Arnold cat transformation. On the basis of position scrambling, the image pixel values are scrambled using chaotic map. Experimental results show that the algorithm has many advantages of increasing key qualities obviously, satisfactory effect of scrambling, and the pixel values of the image are both changed.

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