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A Secure Chaotic Block Image Encryption Algorithm Using Generative Adversarial Networks and DNA Sequence Coding
Mathematical Problems in Engineering Pub Date : 2021-01-15 , DOI: 10.1155/2021/6691547
Pengfei Fang 1 , Han Liu 1 , Chengmao Wu 2 , Min Liu 3
Affiliation  

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.

中文翻译:

基于生成对抗网络和DNA序列编码的安全混沌块图像加密算法

本文提出了一种基于新混沌系统的块加密算法,该算法结合了生成对抗网络(GANs)和DNA序列编码。首先,将GAN与DNA序列编码相结合的新的一维混沌系统生成了两个更复杂的密钥流序列。然后,通过利用块矩阵的乘积对图像加密以对图像进行加扰和扩散,将两个不同的随机序列与改进的Feistel网络组合。最后,对该算法的安全性能进行了定量分析。仿真结果表明,所提出的混沌系统具有较大的密钥空间,并且新算法具有足够的安全性,可以抵抗穷举攻击和选择明文攻击。因此,
更新日期:2021-01-15
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