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

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.

Author(s):  
Zhang Zehui ◽  
Yao Fu ◽  
Tiegang Gao

Image encryption algorithms usually have two processes: permutation and diffusion. In order to enhance the performance of the permutation process, this study proposes a dynamic permutation method based on XOR operation and sorting. Combined with the hyper-chaotic system, SHA-256, the proposed permutation method and the simplified advanced encryption system (S-AES), a novel image encryption algorithm is presented in this paper. Firstly, the SHA-256 is used to generate initial condition values of the chaotic system and control parameters of the permutation method. Then, the chaotic system generates pseudo-random numbers, which are used in the permutation method and S-AES. Finally, the proposed permutation method and S-AES are used to encrypt the plain-image. In particular, parallel computing is used in this study to accelerate encryption speed. The results and analysis indicate that the proposed algorithm has excellent security to resist various typical attacks and fast encryption speed.


2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Jiming Zheng ◽  
Zheng Luo ◽  
Zhirui Tang

In this paper, an improved two-dimensional logistic-sine coupling map (N2D-LSCM) and an improved Henon map (NHenon) are proposed. Furthermore, by combining N2D-LSCM and NHenon map, an image encryption algorithm is proposed based on these two chaotic systems and DNA coding. The chaotic sequences generated by N2D-LSCM are used as the parameters of NHenon. In the scrambling stage, DNA encoding is carried out for pixels after scrambling by two chaotic sequences generated by N2D-LSCM; in the stage of diffusion, DNA random coding acts on random matrix obtained by two chaotic sequences generated by NHenon, and DNA XOR operation is carried out with the image obtained in the scrambling stage to diffuse. Compared with other 2D map for image encryption algorithm, this algorithm exhibits good security and holds high efficiency.


IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Nadeem Iqbal ◽  
Rizwan Ali Naqvi ◽  
Muhammad Atif ◽  
Muhammad Adnan Khan ◽  
Muhammad Hanif ◽  
...  

Author(s):  
Yin Dai ◽  
Huanzhen Wang ◽  
Yuyi Wang

Due to the rapid rise of telemedicine, a lot of patients’ information will be transmitted through the Internet. However, the patients’ information is related to personal privacy, therefore, patients’ information needs to be encrypted when transmited and stored. Medical image encryption is a part of it. Due to the informative fine features of medical images, a common image encryption algorithm is no longer applied. Common encryption algorithm has a single theory based on chaos image encryption algorithm, other encryption algorithms are based on information entropy. However, the images processed with these cipher text encryption algorithm are cyclical, the outline is clear and the anti-tamper capability is not strong. In view of the bit being the smallest measure unit of pixel, in order to overcome the weakness from above algorithm, and take the advantage of the chaotic system, this paper will present a chaotic medical image encryption algorithm based on bit-plane decomposition. The paper combines the image encryption and chaotic system to improve the security. This way, it can increase the security of key space and image effectively. The histogram, pixel correlation, number of pixels change rate (NPCR) and other experimental results show that the algorithm satisfies the desired effect.


2014 ◽  
Vol 989-994 ◽  
pp. 3561-3566
Author(s):  
Guo Sheng Gu ◽  
Jie Ling ◽  
Guo Bo Xie ◽  
Yu Yi Ou

This paper designs an image encryption algorithm with a dynamical feedback operation based on sensitive chaotic system. In the proposed algorithm, the piece wise linear chaotic map is selected to construct pseudo-random keystream sequences. The pseudorandom keystream sequences are used to permute and substitute the plain image data. To enhance the complexity and security of the algorithm, each pixel is dynamically confused by its two previous adjacent encrypted pixels which are specified by a quantized binary tuple derived from a chaotic element. Both theoretical analysis and experimental tests show that the proposed algorithm is secure and efficient.


Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1770
Author(s):  
Xiaoqiang Zhang ◽  
Xuangang Yan

To prevent the leakage of image content, image encryption technology has received increasing attention. Most current algorithms are only suitable for the images of certain types and cannot update keys in a timely manner. To tackle such problems, we propose an adaptive chaotic image encryption algorithm based on RNA and pixel depth. Firstly, a novel chaotic system, two-dimensional improved Logistic-adjusted-Sine map is designed. Then, we propose a three-dimensional adaptive Arnold transform for scrambling. Secondly, keys are generated by the hash values of the plain image and current time to achieve one-image, one-key, and one-time pad simultaneously. Thirdly, we build a pre-permuted RNA cube for 3D adaptive scrambling by pixel depth, chaotic sequences, and adaptive RNA coding. Finally, selective diffusion combined with pixel depth and RNA operations is performed, in which the RNA operators are determined by the chemical structure and properties of amino acids. Pixel depth is integrated into the whole procedure of parameter generation, scrambling, and diffusion. Experiments and algorithm analyses show that our algorithm has strong security, desirable performance, and a broader scope of application.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yi He ◽  
Ying-Qian Zhang ◽  
Xin He ◽  
Xing-Yuan Wang

AbstractIn this paper, a novel image encryption algorithm based on the Once Forward Long Short Term Memory Structure (OF-LSTMS) and the Two-Dimensional Coupled Map Lattice (2DCML) fractional-order chaotic system is proposed. The original image is divided into several image blocks, each of which is input into the OF-LSTMS as a pixel sub-sequence. According to the chaotic sequences generated by the 2DCML fractional-order chaotic system, the parameters of the input gate, output gate and memory unit of the OF-LSTMS are initialized, and the pixel positions are changed at the same time of changing the pixel values, achieving the synchronization of permutation and diffusion operations, which greatly improves the efficiency of image encryption and reduces the time consumption. In addition the 2DCML fractional-order chaotic system has better chaotic ergodicity and the values of chaotic sequences are larger than the traditional chaotic system. Therefore, it is very suitable to image encryption. Many simulation results show that the proposed scheme has higher security and efficiency comparing with previous schemes.


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