A lightweight image encryption scheme based on chaos and diffusion circuit

Author(s):  
Bhaskar Mondal ◽  
Jyoti Prakash Singh
Entropy ◽  
2021 ◽  
Vol 23 (5) ◽  
pp. 510
Author(s):  
Taiyong Li ◽  
Duzhong Zhang

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.


Author(s):  
N. Mohananthini ◽  
M. Y. Mohamed Parvees ◽  
J. Abdul Samath

Nowadays, lightweight cryptography attracts academicians, scientists and researchers to concentrate on its requisite with the increasing usage of low resource devices. In this paper, a new lightweight image encryption scheme is proposed using the Lorenz 3D super chaotic map. This encryption scheme is an addition–rotation–XOR block cipher designed for its supremacy, efficacy and speed execution. In this addition–rotation–XOR cipher, the equation for Lorenz 3D chaotic map is iteratively solved to generate double valued signals in a speedy manner using the Runge–Kutta and Euler methods. The addition, rotation and diffusion sequences are generated from the double valued signals, and the source pixels of the 8-bit plain test images are manipulated with the addition, rotation and diffusion of the bytes. Finally, the cipher images are constructed from the manipulated pixels and evaluated with various statistical as well as randomness tests. The results from various tests prove that the proposed chaotic addition–rotation–XOR block image cipher is efficient in terms of randomness and speed.


2015 ◽  
Vol 81 (3) ◽  
pp. 1151-1166 ◽  
Author(s):  
Jun-xin Chen ◽  
Zhi-liang Zhu ◽  
Chong Fu ◽  
Li-bo Zhang ◽  
Yushu Zhang

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Haiju Fan ◽  
Ming Li

A novel chaos-based image encryption scheme has been proposed recently. In this scheme, redundancies of the Fridrich’s structure were reduced significantly via a new circular inter-intra-pixels bit-level permutation strategy. However, we proved that the original encryption scheme is vulnerable to the known/chosen-plaintext attacks. Both the permutation and diffusion phases have been improved to enhance the security of the original scheme. By shifting each row of the plain image randomly, known-plaintext attacks could be resisted. Furthermore, by appending double crossover diffusion to the end of the original scheme, chosen-plaintext attacks lost their efficacies. Simulation results demonstrated that the improved encryption scheme outperforms the original one.


2021 ◽  
Author(s):  
Xinyu Gao ◽  
Jiawu Yu ◽  
Huizhen Yan ◽  
Jun Mou

Abstract A multi-image encryption scheme based on the fractional-order hyperchaotic system is designed in this paper. The chaotic characteristics of this system are analyzed by the phase diagram, Lyapunov exponent and bifurcation diagram. According to the analyses results, an interesting image encryption algorithm is proposed. Multiple grayscale images are fused into a color image using different channels. Then, the color image is scrambled and diffused in order to obtain a more secure cipher image. The pixel confusion operation and diffusion operation are assisted by fractional hyperchaotic system. Experimental simulation and test results indicate that the devised multi-image encryption scheme can effectively encrypt multiple images, which increase the efficiency of image encryption and transmission, and have good security performance.


2018 ◽  
Vol 27 (8) ◽  
pp. 080701 ◽  
Author(s):  
Xuan-Ping Zhang ◽  
Rui Guo ◽  
Heng-Wei Chen ◽  
Zhong-Meng Zhao ◽  
Jia-Yin Wang

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Guodong Ye ◽  
Kaixin Jiao ◽  
Xiaoling Huang ◽  
Bok-Min Goi ◽  
Wun-She Yap

AbstractMost of existing image encryption schemes are proposed in the spatial domain which easily destroys the correlation between pixels. This paper proposes an image encryption scheme by employing discrete cosine transform (DCT), quantum logistic map and substitution-permutation network (SPN). The DCT is used to transform the images in the frequency domain. Meanwhile, the SPN is used to provide the security properties of confusion and diffusion. The SPN provides fast encryption as compared to the asymmetric based image encryption since operations with low computational complexity are used (e.g., exclusive-or and permutation). Different statistical experiments and security analysis are performed against six grayscale and color images to justify the effectiveness and security of the proposed image encryption scheme.


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