Image encryption scheme based on random fractional discrete cosine transform and dependent scrambling 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.

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Optical and digital double color-image encryption algorithm using 3D chaotic map and 2D-multiple parameter fractional discrete cosine transform

Results in Optics ◽

10.1016/j.rio.2020.100031 ◽

2020 ◽

Vol 1 ◽

pp. 100031

Author(s):

Dhanesh Kumar ◽

Anand B. Joshi ◽

Vishnu Narayan Mishra

Keyword(s):

Discrete Cosine Transform ◽

Image Encryption ◽

Color Image ◽

Chaotic Map ◽

Encryption Algorithm ◽

Color Image Encryption ◽

Cosine Transform ◽

Multiple Parameter ◽

Image Encryption Algorithm

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Lightweight Image Encryption: A Chaotic ARX Block Cipher

Journal of Circuits System and Computers ◽

10.1142/s0218126621500262 ◽

2020 ◽

pp. 2150026

Author(s):

N. Mohananthini ◽

M. Y. Mohamed Parvees ◽

J. Abdul Samath

Keyword(s):

Image Encryption ◽

Block Cipher ◽

Chaotic Map ◽

Encryption Scheme ◽

Lightweight Cryptography ◽

Low Resource ◽

Image Cipher ◽

Euler Methods ◽

And Diffusion ◽

Randomness Tests

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.

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