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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Uložené v:
Podrobná bibliografia
Vydané v:Information sciences Ročník 507; s. 16 - 36
Hlavní autori: Wang, Xingyuan, Gao, Suo
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Inc 01.01.2020
Predmet:
ISSN:0020-0255, 1872-6291
On-line prístup:Získať plný text
Tagy: Pridať tag
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Abstract 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.
AbstractList 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.
Author Wang, Xingyuan
Gao, Suo
Author_xml – sequence: 1
  givenname: Xingyuan
  surname: Wang
  fullname: Wang, Xingyuan
  email: wangxy@dlut.edu.cn, xywang@dlmu.edu.cn
– sequence: 2
  givenname: Suo
  surname: Gao
  fullname: Gao, Suo
  email: 1418159118@qq.com
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Keywords 2D-LASM chaotic system
Chaotic image encryption
Boolean network
Matrix semi-tensor product
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Snippet This paper studies chaotic image encryption technology and an application of matrix semi-tensor product theory, and a Boolean network encryption algorithm for...
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SubjectTerms 2D-LASM chaotic system
Boolean network
Chaotic image encryption
Matrix semi-tensor product
Title Image encryption algorithm for synchronously updating Boolean networks based on matrix semi-tensor product theory
URI https://dx.doi.org/10.1016/j.ins.2019.08.041
Volume 507
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