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Image encryption algorithm for synchronously updating Boolean networks based on matrix semi-tensor product theory

机译:基于矩阵半张量产品理论同步更新布尔网络的图像加密算法

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摘要

This paper studies chaotic image encryption technology and an application of matrix semi tensor product theory, and a Boolean network encryption algorithm for a synchronous update process is proposed. A 2D-LASM chaotic system is used to generate a random key stream. First, a Boolean network is coded, and a Boolean matrix is generated. If necessary, the Boolean network matrix is diffused in one round so that the Boolean matrix can be saved in the form of an image. Then, three random position scramblings are used to scramble the plaintext image. Finally, using a matrix semi-tensor product technique to generate an encrypted image in a second round of diffusion, a new Boolean network can be generated by encoding the encrypted image. In secure communications, users can choose to implement an image encryption transmission or a Boolean network encryption transmission according to their own needs. Compared with other algorithms, this algorithm exhibits good security characteristics. (C) 2019 Elsevier Inc. All rights reserved.
机译:本文研究了混沌图像加密技术和矩阵半张量产品理论的应用,提出了一种用于同步更新过程的布尔网络加密算法。 2D-Lasm混沌系统用于生成随机键流。首先,编码布尔网络,生成布尔矩阵。如有必要,布尔网络矩阵在一个圆形中漫射,使得布尔矩阵可以以图像的形式保存。然后,三个随机位置拼凑符用于争取明文图像。最后,使用矩阵半张量产品技术在第二轮扩散中生成加密图像,可以通过对加密的图像进行编码来生成新的布尔网络。在安全通信中,用户可以选择根据自己的需求来实现图像加密传输或布尔网络加密传输。与其他算法相比,该算法表现出良好的安全特性。 (c)2019 Elsevier Inc.保留所有权利。

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