A Secure Chaotic Block Image Encryption Algorithm Using Generative Adversarial Networks and DNA Sequence Coding

Pengfei Fang, Han Liu, Chengmao Wu and Min Liu

Mathematical Problems in Engineering, 2021, vol. 2021, 1-26

Abstract:

This paper proposes a block encryption algorithm based on a new chaotic system that combines generative adversarial networks (GANs) and DNA sequence coding. First, the new one-dimensional chaotic system that combines GANs with DNA sequence coding generates two more complex key stream sequences. Then, the two different random sequences are combined with an improved Feistel network by utilizing the product of the block matrix to encrypt the image to scramble and diffuse the image. Finally, the security performance of this algorithm is quantitatively analysed. The simulation results show that the proposed chaotic system has a large key space, and the new algorithm yields adequate security and can resist exhaustive attacks and chosen-plaintext attacks. Therefore, this approach provides a new algorithm for secure transmission and protection of image information.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:6691547

DOI: 10.1155/2021/6691547

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