A fast chaos-based image encryption scheme with a novel plain image-related swapping block permutation and block diffusion

2020

Sci Rep

Combining the advantages of structured random measurement matrix and chaotic structure, this paper introduces a color image encryption algorithm based on a structural chaotic measurement matrix and random phase mask. The Chebyshev chaotic sequence is used in the algorithm to generate the flip permutation matrix, the sampling subset and the chaotic cyclic matrix for constructing the structure perceptual matrix and the random phase mask. The original image is compressed and encrypted simultaneously by compressed sensing, and re-encrypted by two-dimensional fractional Fourier transform. Simulation experiments show the effectiveness and reliability of the algorithm.

Section: Simulation Results and Performance Analysismentioning

confidence: 99%

“…For the small number of keys and simple key transmission method, Wu et al used 4D cat mapping and elliptic curve ElGamal for asymmetric encryption 10 . Considering the increase in image size, Chai et al proposed to divide the image into blocks for scrambling and diffusion 11 .…”

Section: Introductionmentioning

confidence: 99%

Color image encryption based on chaotic compressed sensing and two-dimensional fractional Fourier transform

2020

Sci Rep

“…In the process of encrypting digital images, the core purpose is to change the position of pixels and the size of pixel values. Therefore, experts and scholars have proposed many encryption algorithms such as using chaotic sequences to perform bit disturb of images [3,4], using the chaotic sequence and image pixel value for the XOR operation [5,6], and scrambling the pixel [7][8][9]. A nonlinear state feedback controller was proposed in Reference [10] based on the original three-dimensional (3D) autonomous chaotic system to construct a new four-dimensional hyperchaotic system.…”

Section: Introductionmentioning

confidence: 99%

A Novel Five-Dimensional Three-Leaf Chaotic Attractor and Its Application in Image Encryption

Song

et al. 2020

Entropy

This paper presents a novel five-dimensional three-leaf chaotic attractor and its application in image encryption. First, a new five-dimensional three-leaf chaotic system is proposed. Some basic dynamics of the chaotic system were analyzed theoretically and numerically, such as the equilibrium point, dissipative, bifurcation diagram, plane phase diagram, and three-dimensional phase diagram. Simultaneously, an analog circuit was designed to implement the chaotic attractor. The circuit simulation experiment results were consistent with the numerical simulation experiment results. Second, a convolution kernel was used to process the five chaotic sequences, respectively, and the plaintext image matrix was divided according to the row and column proportions. Lastly, each of the divided plaintext images was scrambled with five chaotic sequences that were convolved to obtain the final encrypted image. The theoretical analysis and simulation results demonstrated that the key space of the algorithm was larger than 10150 that had strong key sensitivity. It effectively resisted the attacks of statistical analysis and gray value analysis, and had a good encryption effect on the encryption of digital images.

“…When an image encryption algorithm is performed on an image, it usually processes block-level data (a block of pixels) [24][25][26][27], pixel-level data [28,29], deoxyribonucleic acid-(DNA-) level data (2 bits) [30][31][32][33], bit-level data [34][35][36], or bit plane-level data [37,38]. For fixed processing power, the lower the processing level is, the more pixels the algorithm can handle in one time.…”

Section: Introductionmentioning

confidence: 99%

Image Encryption Based on Dynamic Filtering and Bit Cuboid Operations

Xie

et al. 2019

Complexity

As one of the most widely used media types, images play an important role in the era of the Internet. And hence how to enhance the security of images has become a hot topic in the field of information security. However, due to some intrinsic characteristics of images, image security is still a challenging task. For the purpose of coping with this issue, in this paper, we propose a novel algorithm that combines a hyperchaotic system, dynamic filtering, and bit cuboid operations, namely, DFBC, for image encryption. Specifically, the proposed DFBC consists of four steps: firstly, a 7D Lorenz hyperchaotic system is utilized to generate a pseudorandom sequence; secondly, variable 1D filters are derived from the pseudorandom sequence, and dynamic filtering is conducted on each pixel of an image; thirdly, a diffusion scheme is performed and then the image is transformed to a bit cuboid; and, finally, various types of permutation (rearranging, symmetry, rotation, zigzag, and global bit permutation) are performed on the bit cuboid. The experiments on several testing images demonstrate that the DFBC achieves state-of-the-art results in terms of several evaluation criteria, showing that the DFBC is promising for image encryption.