Improving Chaotic Features of Fractional Chaotic Maps

Nonlinear dynamic systems and chaotic systems have been quite exhaustively researched in the domain of cryptography. However, the possibility of using the fractional chaotic system in the cryptosystem design has been much less explored while it bears advantages such as enlarged keyspace, compared to classical nonlinear systems.This paper, therefore, proposes a novel structure for the pseudo-random number generator based on fractional chaotic systems which consists of 3 different fractional chaotic systems, namely fractional Chen's system, Lu's system, and fractional generalized double-humped logistic map(FGDHL). Then, the outputs of this fractional chaotic pseudo-random number generator(FCPRNG) are used as a keystream for an image encryption scheme. The confusion layer of the scheme is conducted by a dynamic DNA encoding and decoding method combined with a 2D cat map for the permutation in the DNA-bases level. The diffusion layer is performed through the adoption of a 32 bits discrete logistic map. The performance and security analysis have been conducted for the above-designed cryptosystem, proving that the proposed cryptosystem is practical and secure in image encryption.

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Image encryption based on fractional chaotic pseudo-random number generator and DNA encryption method

Yang

Taralova

Assad

et al. 2022

Nonlinear Dyn

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Impacts of the Numerical Calculation Methods on the Chaoticity of the Fractional Chaotic Systems

2022

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Improving Chaotic Features of Fractional Chaotic Maps

Cited by 2 publications

References 6 publications

Image encryption based on fractional chaotic pseudo-random number generator and DNA encryption method

Image encryption based on fractional chaotic pseudo-random number generator and DNA encryption method

Impacts of the Numerical Calculation Methods on the Chaoticity of the Fractional Chaotic Systems

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