scholarly journals An Efficient Plaintext-Related Chaotic Image Encryption Scheme Based on Compressive Sensing

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 758
Author(s):  
Zhen Li ◽  
Changgen Peng ◽  
Weijie Tan ◽  
Liangrong Li
Keyword(s):  
Compressive Sensing ◽  
Image Encryption ◽  
Chaotic Map ◽  
Coefficient Matrix ◽  
Security And Privacy ◽  
Encryption Scheme ◽  
Two Dimensional ◽  
Comparison Results ◽  
Plain Image ◽  
Chaotic Image Encryption

With the development of mobile communication network, especially 5G today and 6G in the future, the security and privacy of digital images are important in network applications. Meanwhile, high resolution images will take up a lot of bandwidth and storage space in the cloud applications. Facing the demands, an efficient and secure plaintext-related chaotic image encryption scheme is proposed based on compressive sensing for achieving the compression and encryption simultaneously. In the proposed scheme, the internal keys for controlling the whole process of compression and encryption is first generated by plain image and initial key. Subsequently, discrete wavelets transform is used in order to convert the plain image to the coefficient matrix. After that, the permutation processing, which is controlled by the two-dimensional Sine improved Logistic iterative chaotic map (2D-SLIM), was done on the coefficient matrix in order to make the matrix energy dispersive. Furthermore, a plaintext related compressive sensing has been done utilizing a measurement matrix generated by 2D-SLIM. In order to make the cipher image lower correlation and distribute uniform, measurement results quantified the 0∼255 and the permutation and diffusion operation is done under the controlling by two-dimensional Logistic-Sine-coupling map (2D-LSCM). Finally, some common compression and security performance analysis methods are used to test our scheme. The test and comparison results shown in our proposed scheme have both excellent security and compression performance when compared with other recent works, thus ensuring the digital image application in the network.

scholarly journals A Novel Chaos-Based Image Encryption Scheme by Using Randomly DNA Encode and Plaintext Related Permutation

2020 ◽  
Vol 10 (21) ◽  
pp. 7469
Author(s):  
Zhen Li ◽  
Changgen Peng ◽  
Weijie Tan ◽  
Liangrong Li
Keyword(s):  
Dna Sequence ◽  
Image Encryption ◽  
Digital Image ◽  
Piecewise Linear ◽  
Chaotic Map ◽  
Security Analysis ◽  
Security And Privacy ◽  
Encryption Scheme ◽  
Piecewise Linear Chaotic Map ◽  
Comparison Results

To ensure the security and privacy of digital image when its transmitting online or storing in the cloud, we proposed a novel chaos based image encryption scheme by using randomly DNA encode and plaintext related permutation. In our scheme, we first randomly encode plain image into a nucleotide sequence under the control by the piecewise linear chaotic map(PWLCM). After that, the plaintext related permutation would be done under the control sequence which generated by hyper chaotic Lorenz system (HCLS). Next, we make diffusion processing with key DNA sequence which is generated by another PWLCM system and also encoded randomly. Finally, we decode DNA sequence into cipher image matrix. In addition, we used many common security analysis methods to test our scheme, and the result compared with other works. The tests and comparison results are shown that our proposed image cryptosystem has excellent security performance to ensure the digital image security on communication.

scholarly journals Cryptanalysis of a New Chaotic Image Encryption Technique Based on Multiple Discrete Dynamical Maps

Entropy ◽  
2021 ◽  
Vol 23 (12) ◽  
pp. 1581
Author(s):  
Haiju Fan ◽  
Chenjiu Zhang ◽  
Heng Lu ◽  
Ming Li ◽  
Yanfang Liu
Keyword(s):  
Image Encryption ◽  
Strong Correlation ◽  
Digital Images ◽  
Computational Cost ◽  
Encryption Scheme ◽  
Discrete Dynamic ◽  
Diffusion Structure ◽  
Plain Image ◽  
Simulation Results ◽  
Chaotic Image Encryption

Recently, a new chaotic image encryption technique was proposed based on multiple discrete dynamic maps. The authors claim that the scheme can provide excellent privacy for traditional digital images. However, in order to minimize the computational cost, the encryption scheme adopts one-round encryption and a traditional permutation–diffusion structure. Through cryptanalysis, there is no strong correlation between the key and the plain image, which leads to the collapse of cryptosystem. Based on this, two methods of chosen-plaintext attacks are proposed in this paper. The two methods require 3 pairs and 258 pairs of plain and cipher images, respectively, to break the original encryption system. The simulation results show the effectiveness of the two schemes.

A Fast Encryption Scheme Suitable for Video Surveillance Applications Using SHA-256 Hash Function and 1D Sine–Sine Chaotic Map

2020 ◽  
pp. 2150022
Author(s):  
Kirtee Panwar ◽  
Ravindra Kumar Purwar ◽  
Garima Srivastava
Keyword(s):  
Video Surveillance ◽  
Image Encryption ◽  
Chaotic Map ◽  
Encryption Scheme ◽  
Internal Working ◽  
Key Space ◽  
Higher Dimensional ◽  
Secret Keys ◽  
Plain Image ◽  
Surveillance Applications

This paper proposes an image encryption technique which is fast and secure. The encryption scheme is designed for secure transmission of video surveillance data (keyframes) over insecure network. The image encryption technique employs 1D Sine–Sine system with better chaotic properties than its seed map and faster than higher-dimensional chaotic systems. Further, design of encryption scheme is based on two permutation rounds, which employs pixel swapping operation and diffusion operation which is simple and provides required security against plaintext, differential and various other attacks. Three separate chaotic sequences are generated using 1D Sine–Sine system which enhances the key space of the encryption scheme. Secret keys are updated dynamically with SHA-256 hash value obtained from plain image. Hash values of plain image are efficiently used without loss of any hash value information. This makes the encryption scheme plaintext sensitive and secure against plaintext attacks. Performance and security aspects of encryption scheme is analyzed both quantitatively using predefined security metrics and qualitatively by scrutinizing the internal working of encryption scheme. Computational complexity of encrypting a plain image of size [Formula: see text] is [Formula: see text] and is suitable for encrypting keyframes of video for secure surveillance applications.

A Chaotic Image Encryption Algorithm Based on a Dynamical Feedback Operation

2014 ◽  
Vol 989-994 ◽  
pp. 3561-3566
Author(s):  
Guo Sheng Gu ◽  
Jie Ling ◽  
Guo Bo Xie ◽  
Yu Yi Ou
Keyword(s):  
Theoretical Analysis ◽  
Image Encryption ◽  
Chaotic System ◽  
Chaotic Map ◽  
Image Data ◽  
Experimental Tests ◽  
Encryption Algorithm ◽  
Plain Image ◽  
Chaotic Image Encryption ◽  
Image Encryption Algorithm

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.

scholarly journals Image Encryption Scheme Based on Balanced Two-Dimensional Cellular Automata

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Xiaoyan Zhang ◽  
Chao Wang ◽  
Sheng Zhong ◽  
Qian Yao
Keyword(s):  
Cellular Automata ◽  
Image Encryption ◽  
Random Number Generator ◽  
Encryption Scheme ◽  
Two Dimensional ◽  
Random Image ◽  
Key Space ◽  
Plain Image ◽  
Ca Model ◽  
Encryption Decryption

Cellular automata (CA) are simple models of computation which exhibit fascinatingly complex behavior. Due to the universality of CA model, it has been widely applied in traditional cryptography and image processing. The aim of this paper is to present a new image encryption scheme based on balanced two-dimensional cellular automata. In this scheme, a random image with the same size of the plain image to be encrypted is first generated by a pseudo-random number generator with a seed. Then, the random image is evoluted alternately with two balanced two-dimensional CA rules. At last, the cipher image is obtained by operating bitwise XOR on the final evolution image and the plain image. This proposed scheme possesses some advantages such as very large key space, high randomness, complex cryptographic structure, and pretty fast encryption/decryption speed. Simulation results obtained from some classical images at the USC-SIPI database demonstrate the strong performance of the proposed image encryption scheme.

scholarly journals Adaptive Chaotic Image Encryption Algorithm Based on RNA and Pixel Depth

Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1770
Author(s):  
Xiaoqiang Zhang ◽  
Xuangang Yan
Keyword(s):  
Image Encryption ◽  
Three Dimensional ◽  
Encryption Algorithm ◽  
Current Time ◽  
Plain Image ◽  
Scope Of Application ◽  
Selective Diffusion ◽  
Chaotic Image Encryption ◽  
And Diffusion ◽  
Image Encryption Algorithm

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.

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