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

机译:一种使用生成对抗网络和DNA序列编码的安全混沌块图像加密算法

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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.
机译:本文提出了一种基于新的混沌系统的块加密算法,所述混沌系统结合了生成的对抗网络(GANS)和DNA序列编码。 首先,将GAN与DNA序列编码组合的新一维混沌系统产生了两个更复杂的密钥流序列。 然后,通过利用块矩阵的乘积来将两个不同的随机序列与改进的FEISTEL网络组合,以加密图像以争夺并漫射图像。 最后,定量分析了该算法的安全性能。 仿真结果表明,所提出的混沌系统具有大的关键空间,新算法产生足够的安全性,可以抵御详尽的攻击和选择明文攻击。 因此,该方法提供了一种用于安全传输和图像信息保护的新算法。

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