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

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...

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Bibliographic Details
Published in:	Information sciences Vol. 507; pp. 16 - 36
Main Authors:	Wang, Xingyuan, Gao, Suo
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.01.2020
Subjects:	2D-LASM chaotic system Boolean network Chaotic image encryption Matrix semi-tensor product 2D-LASM chaotic system Chaotic image encryption Boolean network Matrix semi-tensor product
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
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Summary:	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.
ISSN:	0020-0255 1872-6291
DOI:	10.1016/j.ins.2019.08.041