scholarly journals Image Encryption Based on Pixel-Level Diffusion with Dynamic Filtering and DNA-Level Permutation with 3D Latin Cubes

Entropy ◽  
2019 ◽  
Vol 21 (3) ◽  
pp. 319 ◽  
Author(s):  
Taiyong Li ◽  
Jiayi Shi ◽  
Xinsheng Li ◽  
Jiang Wu ◽  
Fan Pan
Keyword(s):  
Lyapunov Exponents ◽  
Image Encryption ◽  
Dna Computing ◽  
State Of The Art ◽  
Evaluation Criteria ◽  
Pseudorandom Sequence ◽  
Hyperchaotic System ◽  
Dna Encoding ◽  
Novel Approach ◽  
Dynamic Filtering

Image encryption is one of the essential tasks in image security. In this paper, we propose a novel approach that integrates a hyperchaotic system, pixel-level Dynamic Filtering, DNA computing, and operations on 3D Latin Cubes, namely DFDLC, for image encryption. Specifically, the approach consists of five stages: (1) a newly proposed 5D hyperchaotic system with two positive Lyapunov exponents is applied to generate a pseudorandom sequence; (2) for each pixel in an image, a filtering operation with different templates called dynamic filtering is conducted to diffuse the image; (3) DNA encoding is applied to the diffused image and then the DNA-level image is transformed into several 3D DNA-level cubes; (4) Latin cube is operated on each DNA-level cube; and (5) all the DNA cubes are integrated and decoded to a 2D cipher image. Extensive experiments are conducted on public testing images, and the results show that the proposed DFDLC can achieve state-of-the-art results in terms of several evaluation criteria.

scholarly journals Image Encryption Based on Dynamic Filtering and Bit Cuboid Operations

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Xinsheng Li ◽  
Zhilong Xie ◽  
Jiang Wu ◽  
Taiyong Li
Keyword(s):  
Image Encryption ◽  
State Of The Art ◽  
Evaluation Criteria ◽  
The Internet ◽  
Pseudorandom Sequence ◽  
Hyperchaotic System ◽  
Diffusion Scheme ◽  
Media Types ◽  
Dynamic Filtering ◽  
Novel Algorithm

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.

scholarly journals A Novel Image Encryption Approach Based on a Hyperchaotic System, Pixel-Level Filtering with Variable Kernels, and DNA-Level Diffusion

Entropy ◽  
2019 ◽  
Vol 22 (1) ◽  
pp. 5 ◽  
Author(s):  
Jiang Wu ◽  
Jiayi Shi ◽  
Taiyong Li
Keyword(s):  
Image Encryption ◽  
Evaluation Criteria ◽  
Image Transmission ◽  
Hyperchaotic System ◽  
Image Security ◽  
Novel Approach ◽  
Level Data ◽  
Diffusion Scheme ◽  
Dynamic Filtering ◽  
And Storage

With the rapid growth of image transmission and storage, image security has become a hot topic in the community of information security. Image encryption is a direct way to ensure image security. This paper presents a novel approach that uses a hyperchaotic system, Pixel-level Filtering with kernels of variable shapes and parameters, and DNA-level Diffusion, so-called PFDD, for image encryption. The PFDD totally consists of four stages. First, a hyperchaotic system is applied to generating hyperchaotic sequences for the purpose of subsequent operations. Second, dynamic filtering is performed on pixels to change the pixel values. To increase the diversity of filtering, kernels with variable shapes and parameters determined by the hyperchaotic sequences are used. Third, a global bit-level scrambling is conducted to change the values and positions of pixels simultaneously. The bit stream is then encoded into DNA-level data. Finally, a novel DNA-level diffusion scheme is proposed to further change the image values. We tested the proposed PFDD with 15 publicly accessible images with different sizes, and the results demonstrate that the PFDD is capable of achieving state-of-the-art results in terms of the evaluation criteria, indicating that the PFDD is very effective for image encryption.

scholarly journals A Novel Image Encryption Algorithm Based on a Fractional-Order Hyperchaotic System and DNA Computing

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Taiyong Li ◽  
Minggao Yang ◽  
Jiang Wu ◽  
Xin Jing
Keyword(s):  
Image Encryption ◽  
Fractional Order ◽  
Dna Computing ◽  
Lorenz System ◽  
Effective Diffusion ◽  
Encryption Algorithm ◽  
Pseudorandom Sequence ◽  
Hyperchaotic System ◽  
Diffusion Scheme ◽  
Hyperchaotic Lorenz System

In the era of the Internet, image encryption plays an important role in information security. Chaotic systems and DNA operations have been proven to be powerful for image encryption. To further enhance the security of image, in this paper, we propose a novel algorithm that combines the fractional-order hyperchaotic Lorenz system and DNA computing (FOHCLDNA) for image encryption. Specifically, the algorithm consists of four parts: firstly, we use a fractional-order hyperchaotic Lorenz system to generate a pseudorandom sequence that will be utilized during the whole encryption process; secondly, a simple but effective diffusion scheme is performed to spread the little change in one pixel to all the other pixels; thirdly, the plain image is encoded by DNA rules and corresponding DNA operations are performed; finally, global permutation and 2D and 3D permutation are performed on pixels, bits, and acid bases. The extensive experimental results on eight publicly available testing images demonstrate that the encryption algorithm can achieve state-of-the-art performance in terms of security and robustness when compared with some existing methods, showing that the FOHCLDNA is promising for image encryption.

scholarly journals Hyperchaotic Image Encryption Based on Multiple Bit Permutation and Diffusion

Entropy ◽  
2021 ◽  
Vol 23 (5) ◽  
pp. 510
Author(s):  
Taiyong Li ◽  
Duzhong Zhang
Keyword(s):  
Big Data ◽  
Lyapunov Exponents ◽  
Image Encryption ◽  
Hyperchaotic System ◽  
Encryption Scheme ◽  
Image Content ◽  
Image Security ◽  
Level Data ◽  
Different Types ◽  
And Diffusion

Image security is a hot topic in the era of Internet and big data. Hyperchaotic image encryption, which can effectively prevent unauthorized users from accessing image content, has become more and more popular in the community of image security. In general, such approaches conduct encryption on pixel-level, bit-level, DNA-level data or their combinations, lacking diversity of processed data levels and limiting security. This paper proposes a novel hyperchaotic image encryption scheme via multiple bit permutation and diffusion, namely MBPD, to cope with this issue. Specifically, a four-dimensional hyperchaotic system with three positive Lyapunov exponents is firstly proposed. Second, a hyperchaotic sequence is generated from the proposed hyperchaotic system for consequent encryption operations. Third, multiple bit permutation and diffusion (permutation and/or diffusion can be conducted with 1–8 or more bits) determined by the hyperchaotic sequence is designed. Finally, the proposed MBPD is applied to image encryption. We conduct extensive experiments on a couple of public test images to validate the proposed MBPD. The results verify that the MBPD can effectively resist different types of attacks and has better performance than the compared popular encryption methods.

A novel image encryption algorithm based on the chaotic system and DNA computing

2017 ◽  
Vol 28 (05) ◽  
pp. 1750069 ◽  
Author(s):  
Xiuli Chai ◽  
Zhihua Gan ◽  
Yang Lu ◽  
Yiran Chen ◽  
Daojun Han
Keyword(s):  
Image Encryption ◽  
Chaotic System ◽  
Dna Computing ◽  
Encryption Algorithm ◽  
Dna Encoding ◽  
Xor Operation ◽  
Position Sequence ◽  
Plain Image ◽  
Bit Plane ◽  
Image Encryption Algorithm

A novel image encryption algorithm using the chaotic system and deoxyribonucleic acid (DNA) computing is presented. Different from the traditional encryption methods, the permutation and diffusion of our method are manipulated on the 3D DNA matrix. Firstly, a 3D DNA matrix is obtained through bit plane splitting, bit plane recombination, DNA encoding of the plain image. Secondly, 3D DNA level permutation based on position sequence group (3DDNALPBPSG) is introduced, and chaotic sequences generated from the chaotic system are employed to permutate the positions of the elements of the 3D DNA matrix. Thirdly, 3D DNA level diffusion (3DDNALD) is given, the confused 3D DNA matrix is split into sub-blocks, and XOR operation by block is manipulated to the sub-DNA matrix and the key DNA matrix from the chaotic system. At last, by decoding the diffused DNA matrix, we get the cipher image. SHA 256 hash of the plain image is employed to calculate the initial values of the chaotic system to avoid chosen plaintext attack. Experimental results and security analyses show that our scheme is secure against several known attacks, and it can effectively protect the security of the images.

scholarly journals Novel Medical Image Cryptogram Technology Based on Segmentation and DNA Encoding

2021 ◽  
Author(s):  
Hongwei Xie ◽  
Yuzhou Zhang ◽  
Hao Zhang ◽  
Zhenyu Li
Keyword(s):  
Image Segmentation ◽  
Image Encryption ◽  
Medical Image ◽  
Deoxyribonucleic Acid ◽  
Security Analysis ◽  
Hyperchaotic System ◽  
Segmentation Method ◽  
Dna Encoding ◽  
Fuzzy C Means Clustering ◽  
Encryption Method

Abstract This paper proposes a novel medical image encryption method based on fast and robust fuzzy C-means clustering image segmentation method and deoxyribonucleic acid encoding. Firstly, the plain medical image is split to interested pixels and uninterested pixels, respectively. Then, the uninterested 0-value pixels are abandoned to reduce the pixels in encryption. Secondly, for the interested pixels, some low-value pixels are also discarded by image segmentation to further reduce the encryption time. Thirdly, a 4-dimensional hyperchaotic system is utilized to process the main pixels of medical image with deoxyribonucleic acid encoding. Finally, lossless encryption and fast encryption are done for different purposes and security analysis shows that the encryption method is robust and secure to resist various attacks.

Dynamic 3D scrambled image based RGB image encryption scheme using hyperchaotic system and DNA encoding

2021 ◽  
Vol 58 ◽  
pp. 102809
Author(s):  
Nadeem Iqbal ◽  
Muhammad Hanif ◽  
Sagheer Abbas ◽  
Muhammad Adnan Khan ◽  
Zia Ul Rehman
Keyword(s):  
Image Encryption ◽  
Hyperchaotic System ◽  
Encryption Scheme ◽  
Dna Encoding ◽  
Rgb Image

scholarly journals Image Encryption Algorithm Based on Dynamic DNA Coding and Chen’s Hyperchaotic System

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Jian Zhang ◽  
Dezhi Hou ◽  
Honge Ren
Keyword(s):  
Image Encryption ◽  
Chaos Theory ◽  
Research Direction ◽  
Encryption Algorithm ◽  
Hyperchaotic System ◽  
Dna Encoding ◽  
Dna Coding ◽  
New Research ◽  
National Information ◽  
Image Encryption Algorithm

With the development of national information processes, specific image information from secret departments or individuals is often required to be confidentially transmitted. Numerous image encryption methods exist, especially since the initial value sensitivity and other characteristics of chaos theory and chaos theory-based encryption have become increasingly important in recent years. At present, DNA coding constitutes a new research direction of image encryption that uses the four base pairs of DNA code and image pixel values to establish a special correspondence, in order to achieve pixel diffusion. There are eight DNA encoding rules, and current methods of selecting the DNA encoding rules are largely fixed. Thus, the security of encoded data is not high. In this paper, we use the Lorenz chaotic system, Chen’s hyperchaotic system, and the DNA encoding combination and present a new image encryption algorithm that can dynamically select eight types of DNA encoding rules and eight types of DNA addition and subtraction rules, with significant improvements in security. Through simulation experiments and histograms, correlations, and NPCR analyses, we have determined that the algorithm possesses numerous desirable features, including good encryption effects and antishear and antinoise performances.

A novel auto-encoder induced chaos based image encryption framework aiding DNA computing sequence

2021 ◽  
pp. 1-17
Author(s):  
P. Alli ◽  
J. Dinesh Peter
Keyword(s):  
Image Encryption ◽  
Dna Computing ◽  
Vital Role ◽  
Primary Data ◽  
Computational Time ◽  
Security Threats ◽  
Secret Key ◽  
Dna Encoding ◽  
Digital Network ◽  
Encryption And Decryption

The day-to-day progress in communication plays a vital role in transmitting millions and trillions of data through the unsecured network channels. It creates a way where the user’s data becomes the victim of various security threats. Among those users’ data, images act as primary data, and its encryption security methodologies are fascinating. The conventional encryption techniques don’t work well against the various other hidden security threats but require substantial computational time and cost with poor permutation performance. Hence to deal with this, an auto-encoder induced DNA (Deoxyribonucleic acid) sequence via chaotic image encryption framework is designed in our proposed work. It integrates the properties of DNA encoding and the chaotic maps to handle the data losses effectively and resist several attacks such as statistical attacks, chosen-plaintext attacks, etc. Moreover, an auto-encoder is used to control the data noises, thereby ensuring a better encryption performance. Here, the auto-encoder is activated to generate a permuted image with less time complexity and noise. A secret key is then initialized with the aid of SHA-256. Finally, image encryption and decryption are achieved, followed by the successful transmission of data over a digital network. The performance of the proposed work is analyzed with varied metrics to strengthen its efficiency over the prior techniques.

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